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1. For NDVI analysis the NDVI value is indicative of the health of vegetation and is a useful indicator in knowing the amount chlorophyll content present in the vegetation The chlorophyll content is indicative plant s ability to photosynthesis the required nutrients in order to grow A healthy plant will have a high NDVI value of at least 0 5 and above A NDVI value that is lower than 0 5 is indicative of an unhealthy plant and a value of below O is indicated of non organic materials such as buildings and manmade objects as explained in Section 4 2 1 For red channel analysis the white spots are indicative of disease present in the crops and are a useful indicator in knowing the presence of diseases in the vegetation However there are some exceptions whereby diseases that are not present such as the image explained in Section 4 2 2 1 For the image in this section it can be seen there are bands of white areas and these areas are due to the strong sunlight that is shining on the plant and thus will have a higher reflectance value As shown in Section 4 3 1 2 there are distinct white spots which indicate the presence of disease in the crop References ie 2 3 10 11 12 13 14 15 16 17 18 Lee D S Periaux J Gonzalez L F UAS mission path planning system MPPS using hybrid game coupled to multi objective optimiser J Dyn Syst Meas Control 2009 132 1 1 J P riaux D S Lee L F Gonzalez K S2. J Periaux and K Srinivas Evolutionary Optimization Methods with Uncertainty for Modern Multidisciplinary Design in Aerospace Engineering 100 Volumes of Notes on Numerical Fluid Mechanics Heidelberg Germany Springer 2009 ch 3 pp 271 284 Periaux J Gonzalez L F Whitney J W Srinivas K MOO methods for multidisciplinary design using parallel evolutionary algorithms game theory and hierarchical topology Practical application to the design and optimisation of UAV systems Part 1 Von Karman Institute VKI Lecture Series Introduction to Multidisciplinary to Optimisation and Miultidisciplinary Design Applications to Aeronautics and Turbomachinery March 6 10 2006 Tetracam Inc 2014 Antic B Culibrk D Crnojevic V amp Minic V 2009 An Efficient UAV Based Remote Sensing Solution for Precision Farming In BioSenseO9 The First International Workshop on ICT and Sensing Technologies in Agriculture Forestry and Environment Novi Sad Serbia October Saari Heikki Ismo Pellikka Liisa Pesonen Sakari Tuominen Jan Heikkil Christer Holmlund Jussi M kynen Kai Ojala and Tapani Antila 2011 Unmanned Aerial Vehicle UAV operated spectral camera system for forest and agriculture applications In SPIE Remote Sensing pp 81740H 81740H International Society for Optics and Photonics Arnold T De Biasio M Fritz A Frank A amp Leitner R 2012 UAV based multi spectral environmental monitori
3. the crop shown here suffers from some disease as there 1s some presence of diseased spots which can be seen in the bottom right of the picture The other white spots seen are due to higher reflectance as a result of strong sunlight As mentioned in the earlier sections the purpose of offset correction is to improve the resolution of where the diseased spots are However this is not the seen for the case of this image as the locations of the white spots are similar to the analysis performed in Section 4 2 2 3 4 4 Flight Image 4 4 1 Example Crop Figure 4 15 NDVI Image 476 Feta tig u is fe mie sos ERON M are Mis ne fin EA ree PARES ay E ie ar Sal Se a Sane S eee Se E The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image the crops have NDVI values of O orange 0 118 dark pink and 0 235 pink colour which means that vegetation is present and they are in unhealthy condition Soil is shown to have a NDVI value of 0 235 greenish blue All other NDVI values below 0 indicate no vegetation is present As mentioned the crops shown in the picture are unhealthy Based on the chosen bandwidths for analysis it can be said that the crops have lower chlorophyll content which affects its ability to photosynthesise Inability to photosynthesise will hamper the health growth of the crops However due to the higher altitude in which this picture was taken it can be seen there
4. Typa NR A G L F r low diate wakees to linden 0 Smooth index images F Vinte CSV file of index Value Percentages die Niemi eee rere index dil Ver 1 0 3 2 2 3 1 2 Offset Correction Processing In order to correctly process some images which were taken at a close distance to the crop of interest an offset correction has to be applied when processing such images The following steps have to be taken before the undertaking the steps mentioned in Section 3 1 1 1 1 Move cursor to View and click on FOV Optical Calculator Figure 2 8 Step 1 File Edit View Window Print Help Cascade Tile Vertical Tile Horizontal Zoom In Zoom Out Show Image MetaD FOV Optical Calculator Show Spyglass Show Camera Toolbar EditTools Index Tools Histogram User Preferences Launch GPS Distiller Launch TifExport 2 Input the distance between the multispectral camera and the object of interest under the Object Distance m text box Figure 2 9 Step 2 MCA lt 6 66 5 32 5 2 gt v Sensor Type 37 84 30 62 47 37 Angle of View deg WxHxD 6 66 5 32 Sensor Dimensions mm WxH 0 555 0 443 Field of View m Pixel Size microns 0 43 Spatial Resolution mm ocal Length mm 2 769 Hyperfocal Distance 0 0120000000 Lateral Magnification 0 115200 Image Displacement mm Depth of Field Nearpoint 32 F number 0 510 Depth of Field Total 2 Blur Spot Size in Pixels Groundsp
5. healthy condition due to its average chlorophyll content present Figure 4 2 NDVI Image 182 St VP ies r NET A Fy wie A Pb 29 RA fade 7 gs a tee s R E a 7 x TE A G Ep at Ps p so i e LN Aah Oe Bh ee P x cf y Y aa i In order to prove that the crop is undiseased the red channel band was used for analysis Although the red circles seem to indicate that the crop is suffering from disease However the circled areas are due to overexposure as a result of the strong sunlight rather than the white spots seen in the diseased image 168 Thus it can be said that the above crop is undiseased 4 2 2 2 Diseased Figure 4 4 NDVI Image 168 The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image it can be seen that the oat is in healthy condition as they have high NDVI values of 0 706 dark green to 0 941 green Although there are some portions of the pixels indicate a low NDVI value of 0 118 dark pink to 0 235 pink the plant is generally in healthy condition Thus it can be said that the plant has a high chlorophyll content which indicates its ability to photosynthesise for nutrients and maintain its healthy condition Figure 4 5 Red Channel Image 168 In order to prove that the crop is diseased the red channel band was used for analysis The red circles show the areas which show indication of the crop suffering from disease The circled white spots in the p
6. 1700 500 1639 0850 1700 J Comers a FE quand weth cer Sener oe Tae a SS J Dip ol eee becker Seo muja io Ta Lining MOC tom fe 6 Click on the MCA tab 7 Click on Open MCA amp select the MCA file that came with the CD 8 In the Save RAW sets as row click on Multipage Tifs be stored 10 Move cursor to File amp click on Open 11 Navigate to the folder where the exported images are stored amp select an image file 12 Under the MCA tab amp Active File section select the RGB overlay for the camera sensor Click on Multiframe Tif gt RGB 9 Select the folder where all the imported images are stored amp select a folder where all the exported images will Figure 2 5 Steps 7 8 12 13 o E E injan Maka Palas Canopy WCA L5 Bach x Y Hoan Sab CMA 0 0 0 1 550 10 0 0 0 0 1 1L5 00 0 4 4 004 1 0065 660 10 0 10 8 170 1 0150 690 10 0 4 5 270 1 0056 720 10 0 Vipra JA Giota mea 7 Aafoloed mcs cirea F E Slave d Frama 4 Bw Stee ji Fearne Jj P E Saree Frame f a 13 Click on Pallette tab amp tick Apply Pallette amp Apply Legend Figure 2 6 Step 14 14 Click on Index amp select the type of index method in the dropdown box 15 Click on Calibrate followed by Execute Figure 2 7 Steps 15 16 I Source image from Camere WA Dha MRRAG Savi L Waluo 0 0000 R G B image
7. QUT Queensland University of Technology Brisbane Australia This ts the author s version of a work that was submitted accepted for pub lication in the following source Yeow Daryl Teik amp Etse Victor Kwesi 2014 Evaluation of a Multispectral Camera on a UAV for Agricultural Applica tions ARCAA Remote Sensing Techical Reports Queensland University of Technology Brisbane Qld This file was downloaded from http eprints qut edu au 90130 Copyright 2014 Queensland University of Technology Notice Changes introduced as a result of publishing processes such as copy editing and formatting may not be reflected in this document For a definitive version of this work please refer to the published source Evaluation of a Multispectral Camera on a UAV for Agricultural Applications Technical Report Daryl Teik Yeow Victor Kwesi Etse Queensland University of Technology QUT Brisbane QLD Australia Abstract Australian farmers have used precision agriculture technology for many years with the use of ground based and satellite systems However these systems require the use of vehicles in order to analyse a wide area which can be time consuming and cost ineffective Also satellite imagery may not be accurate for analysis Low cost of Unmanned Aerial Vehicles UAV present an effective method of analysing large plots of agricultural fields As the UAV can travel over long distances and fly over multiple plots it all
8. URE METHOD 6 Set the desired settings such as the SAVE MODE FIXED EXP which changes the amount of time each image will be exposed to light and CONT CAPTURE which changes the capturing method to continuous mode 7 Press the Menu button on the controller box to return to the main menu 8 Use the controller box to select the SETUP menu 9 Set the USB MODE setting to CAMERA 10 Switch off the power adapter and disconnect the controller box and the attached cable from the Tetracam Mini MCA6 11 Screw the mounting bracket with the Tetracam Mini MCA6 12 Mount the Tetracam Mini MCA6 on the UAV Figure 2 2 Steps 7 to 9 tatus ALS OpenDCA Ca Disconnect Hide ToolBar 2 3 Image Processing 2 3 1 Tetracam PixelWrench2 2 3 1 1 Normal Processing Before processing the images the images have to be transferred from the multispectral camera to a computer The following steps were taken 1 If user connects with Camera mode 1 Connect the Tetracam Mini MCA6 to the computer 11 Open PixelWrench i1 Move cursor to View amp click on Show Camera Toolbar iv Click on status amp select MCA v Click on Open Camera vi Create a new folder to store the raw image files vil Click on Xfr Images amp select the newly created folder to store the images 2 If user connects with USB mode i Create a new folder to store the raw image files ii Connect the Tetraca
9. VI Normalized Difference Vegetation Equation equation is defined as NDVI To where the NIR ranges from 750nm onwards and R is the VIS range from 400nm to 750nm The NDVI equation is used to determine the health of the crops such as the amount of chlorophyll content Higher chlorophyll content indicates a healthy plant and lower chlorophyll content indicates an unhealthy plant 4 2 Ground Images 4 2 1 Multiple Features Figure 4 1 NDVI Image 362 The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image there are many variations of the NDVI shown The NDVI values of 0 588 dark green and 0 706 green shows that the vegetation are in healthy condition Whereas other vegetation with values of 0 118 dark pink and 0 235 pink signifies that the vegetation are unhealthy All other NDVI values below 0 indicate no vegetation is present and in this image they are inorganic material such as roads and buildings 4 2 2 Oats 4 2 2 1 Undiseased The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image it can be seen that the oat is in a deteriorating condition due to the low NDVI values seen in the image As seen even though the oat has high NDVI values of 0 706 dark green to 0 941 green it also has more unhealthy parts which have a low NDVI value of 0 118 dark pink to 0 235 pink This signifies that the plant is in a moderately
10. are some inaccurate readings whereby there is a NDVI value of 0 in some parts of the crops 4 4 2 Non Organic Features Figure 4 16 NDVI Image 506 The selected bands chosen for analysis in this picture are 550nm 690nm and 810nm As seen in the above image all the colours indicate towards no vegetation present in the area It can be seen there are some plants present in the area which have a NDVI value of 0 orange and 0 118 dark pink which means they are in unhealthy condition The erected tent has a NDVI value of 0 471 dark blue which indicates an inorganic material The shed has a NDVI value of 0 and 0 118 which is not in line with the fact that an inorganic material should have a NDVI value of below 0 However this could be due to the strong reflection of sunlight which may affect the filter bands chosen for analysing the image As mentioned the low NDVI value indicates that the plants have low chlorophyll content which means that the plant s ability to photosynthesise is hampered which in turn affects its health growth 5 Conclusion In conclusion it can be said that the use of multispectral cameras is a feasible idea and can be used as a form of analysing the health and status of the crops As seen in Section 4 the results prove that the use of a multispectral camera provide invaluable amount of information over an area of vegetation such as the health through NDVI analysis and the status through red channel analysis
11. e 4 2 2 4 Nutrient Deficient The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image it can be seen that the oats are in extremely unhealthy condition and lack the necessary nutrients required for photosynthesis This can be evidently seen since most of the oats have NDVI values of 0 orange to 0 118 dark pink The low NDVI value is a strong indication of the unhealthy status of the crops in the area Also other non organic materials are shown to have NDVI values below 0 such as the road having a NDVI value of 0 235 greenish blue and the building with NDVI values between 0 118 to 0 353 cyan Figure 4 8 NDVI Image 109 aa age ran aie i if a E ae Se as ya Lita jee he ait 4 3 Ground Images with Offset Correction 4 3 1 Oats 4 3 1 1 Undiseased 0 5m Offset Correction Figure 4 9 NDVI Image 182 with Offset Correction The selected bands chosen for analysis in this picture are 660nm 690nm and 810nm As seen in the above image it can be seen that the oat is in a deteriorating condition due to the low NDVI values seen in the image The health of the plant is similar to that as described in Section 4 2 2 1 Figure 4 10 Red Channel Image 182 with Offset Correction This analysis is as per performed in Section 5 2 2 1 to prove that the crop is undiseased The difference between the above image and the one analysed in the earlier section is the re
12. eed KPH Camera Landse 2492 Overlap Capture Interval l Hectares in view DLL Info fov Version 1 0 4920 18019 Culture neutral PublicKeyToken null 3 After Step 13 as mentioned in Section 3 3 1 1 click on Align to FOV distance value Figure 2 10 Step 3 IndexTools z Index Matrix Pallette Canopy MCA ILS Batch X Y Rotation Scaling CWL Vignette 0 0 0 1 550 10 0 0 0 0 1 ILS 00 0 4 4 004 1 0065 660 10 0 10 8 170 1 0150 690 10 0 4 5 270 1 0056 720 10 0 Yv 220859 Global mca Open MCA Autoload mca Save MCA Save DCM sets as Multipage Tifs Single Tifs Save BAM Multipage Tifs Single Tifs Align to FOV distance value Use LZW Compression Equalize Pixel Gains All Files Saved SLAVE 4 720 10 ee SLAVE 3 690 10 E SLAVE 2 660 10 MultiFrame Tif gt RGB Batch gt RGB JPG 3 Test Cases 3 1 Ground Test This section describes the different types of test cases on the ground which were performed to obtain the captured images for processing 3 1 1 ARCAA ARCAA provides the perfect vantage point as there are no obstructions or whatsoever around the area and there are various types of plants trees and buildings in its surroundings This will prove useful for the performed bench tests to test the equipment and obtain some images for image processing The main objective behind this test case is to ca
13. icture indicate the presence of disease in the crop 4 2 2 3 Simulated Flight Figure 4 6 NDVI Image 210 The selected bands chosen for analysis in this picture are 660nm 720nm and 810nm As seen in the above image it can be seen that the oat is in healthy condition as they have high NDVI values of 0 706 dark green to 0 941 green Although there are some portions of the pixels indicate a low NDVI value of 0 118 dark pink to 0 235 pink the plant is generally in healthy condition Thus it can be said that the plant has a high chlorophyll content which indicates its ability to photosynthesise for nutrients and maintain its healthy condition The picture towards the left shows the soil and the human foot which is seen to have NDVI values of below 0 0 118 dark pink to 0 706 dark purple which is indicative of soil and non organic material respectively Figure 4 7 Red Channel Image 210 The same form of analysis for checking the presence of disease was performed on the simulated flight image As seen in the above image it can be seen that the crop is not diseased and that circled white spot areas are due to a higher reflectance as a result of the strong sunlight However there are two areas in the bottom right corner of the picture which seem to suggest that this crop is diseased as there are some white spots which can be clearly seen Thus it can be said that the crop captured in this image has a low presence of diseas
14. m Mini MCA6 to the computer 111 Open windows explorer amp select one of the 6 USB storage devices iv Transfer the images from each folder to the newly created folder store the images 3 Note all transferred images must be stored in a single folder to allow for PixelWrench2 to combine the images as image file The following steps were taken to process each image captured on the Tetracam Mini MCA6 multispectral camera 1 Open PixelWrench2 software 2 Move cursor to View amp click on Index Tools Figure 2 3 Step 2 File Edit View Window Print Help Cascade Tile Vertical Tile Horizontal Zoom In Zoom Out Show Image MetaData FOV Optical Calculator Show Spyglass Show Camera Toolbar EditTools Histogram User Preferences Launch GPS Distiller Launch TifExport 3 Click on ILS tab 4 Click Open ISC amp select the ISC file that came with the CD 5 Tick the checkbox Camera is Equipped with Incident Sensor amp Do not write Incident Sensor image to Tif Figure 2 4 Steps 2 to 5 va O E Mjaa lle Falete Canopy TON Tha page dapiays Dee controls for MCA canner equpped wah the fiber oper bcden Light Sena Thee l9 fide pomara the fiber puipui co orcwintes the flee Gheowghpul efficiency end the Haye configured as the Incident Laght Senp Keats Veo Fier EF Ca Enp Sens Siiv 312 1250 1755 1650 1 x 507 899 1716 1700 105 7910 1008 1700 103 1646 1028
15. ng In SPIE Defense Security and Sensing pp 836005 836005 International Society for Optics and Photonics Turner D Lucieer A amp Watson C 2011 April Development of an Unmanned Aerial Vehicle UAV for hyper resolution vineyard mapping based on visible multispectral and thermal imagery In Proceedings of 34th International symposium on remote sensing of environment p 4 Berni J A J Zarco Tejada P J Suarez L Gonzalez Dugo V amp Fereres E 2009 Remote sensing of vegetation from UAV platforms using lightweight multispectral and thermal imaging sensors Int Arch Photogramm Remote Sens Spatial Inform Sci 38 6 Zarco Tejada P J Berni J A Suarez L Sepulcre Canto G Morales F amp Miller J R 2009 Imaging chlorophyll fluorescence with an airborne narrow band multispectral camera for vegetation stress detection Remote Sensing of Environment 113 6 1262 1275 De Biasio M Arnold T Leitner R McGunnigle G amp Meester R 2010 April UAV based environmental monitoring using multi spectral imaging In SPIE Defense Security and Sensing pp 766811 766811 International Society for Optics and Photonics Tetracam Inc 2014 Recommendations For Band Pass Filter Selections Retrieved from http www tetracam com Tetracam 20 20Recommendations 20for 20Band 20Pass 20Filter 20Selection htm Tetracam Inc 2014 MCA User Manual Retrieved from http www tetracam com PDFs MCA_U
16. ows for more data to be captured by a sampling device such as a multispectral camera and analysed thereafter This would allow farmers to analyse the health of their crops and thus focus their efforts on certain areas which may need attention This project evaluates a multispectral camera for use on a UAV for agricultural applications 1 Introduction Remote sensing for agricultural applications has existed since the 1950s where scientists used aerial photography to assess the health of crops Up until recent times these images were not an effective way of assessing the health of crops in an area With the emergence of Unmanned Aerial Vehicles UAVs and various technologies such spectral cameras and sensors remote sensing for agricultural applications is becoming increasingly popular due to its effectiveness and ease of use UAS design path planning and UAVs for agriculture is an active field of research 1 16 The use of multispectral cameras mounted on a UAV provides valuable data that cannot be captured with the use of standard photography A multispectral camera captures the amplitude of each wave at specific frequencies on the electromagnetic spectrum in particular the Visible VIS and Near Infrared NIR ranges These captured images can be used for post flight analysis on the computer software Tetracam PixelWrench2 which calculates the vegetation indices in order to assess the health of crops and etc In this report the procedures for
17. pture various images of places with multiple features This provides the best form of analysis in order to distinguish various features such as non organic material present such as buildings and vehicles apart from vegetation such as trees and plants 3 1 2 Gatton Farm Test Site The next step would be to obtain images of various types of images of crops that are diseased undiseased and with without nutrient deficiency These images areuseful in proving that the use of multispectral cameras for analysing the health and status of crops The main objective behind this test case is to capture images of various types of crops in order to analyse their health and status This provides the best form of analysis in determining whether these crops are in a healthy condition and or if they are suffering from some form of disease 3 2 Flight Test This section describes the flight test case scenario whereby the multispectral camera was mounted on a UAV DJI S800 in order to capture images of various plots of crop as well as other kinds of features such as empty land and erected buildings 3 2 1 Dalby Farm Test Site The main objective behind this test case is to capture images of the crops at the test site in order to analyse the health of the crops through post flight analysis This provides the best form of validation to the use of a multispectral camera mounted on UAVs for agricultural applications 4 Results 4 1 NDVI Equation NIR R The ND
18. rinivas Fastreconstructionofaerody amic shapes using evolutionary algorithms and virtual Nash strategies in a CFD design environment J Comput Appl Math 232 2009 61 71 Gonzalez L F Lee D S Walker R A and Periaux J 2009 Optimal mission path planning mpp for an air sampling unmanned aerial system In Scheding S editor 2009 Australasian Conference on Robotics amp Automation pages 1 9 Sydney Australian Robotics amp Automation Association Lee D Gonzalez L Srinivas K Auld D Periaux J 2007 Multiobjective multidisciplinary design optimisation of blended wing body UAV via advanced evolutionary algorithms In Collection of technical papers 45th AIAA Aerospace Sciences Meeting vol pp 296 316 Lee DS Gonzalez L F Whitney E J Multidisciplinary Multi fidelity Design tool HAPMOEA User Guide 2007 Gonzalez L F Whitney E J Periaux J Sefrioui M and Srinivas K 2004 A robust evolutionary technique for inverse aerodynamic design Design and Control of Aerospace Systems Using Tools from Nature In Proceedings of the 4th European Congress on Computational Methods in Applied Sciences andE ngineering Vol 2 pp 24 28 Gonzalez L F Whitney E J Srinivas K and Periaux J Optimum Multidisciplinary and Multi Objective Wing Design in CFD Using Evolutionary Techniques Proceedings of International Conference on Computational Fluid Dynamics 3 Toronto Canada July 12 14 2004 D S Lee L F Gonzalez
19. ser_Manual pdf
20. solution of the picture As compared to the previous picture the image shown above has a lower reflectance due to the strong sunlight in the same circled areas which prove that it is undiseased 4 3 1 2 Diseased 0 5m Offset Correction Figure 4 11 NDVI Image 168 with Offset Correction The selected bands chosen for analysis in this picture are 660nm 690nm and 810nm As seen in the above image it can be seen that the oat is in a healthy condition The health of the plant is as per described in Section 4 2 2 2 Figure 4 12 Red Channel Image 168 with Offset Correction As per described in Section 4 2 2 2 the crop shown here is diseased and can be seen in the above image where the diseased spots are characterised by the white spots As seen in the offset corrected images these images have some parts of the pictures cropped as compared to the images in Section 4 2 2 2 However the main difference is that the resolution in the images with offset correction has clearly defined diseased spots as shown in the red channel analysis in Figure 4 12 4 3 1 3 Simulated Flight 0 8m Offset Correction Figure 4 13 NDVI Image 210 with Offset Correction Beat z gt 3 E Of Ma m D The selected bands chosen for analysis in this picture are 660nm 690nm and 810nm The health of the plant is as per described in Section 4 2 2 3 Figure 4 14 Red Channel Image 210 with Offset Correction As per described in Section 4 2 2 3
21. the various types of test cases and the results from the post flight analysis are covered These aspects will lead to the feasibility of utilising a multispectral camera on board a UAV for agricultural applications The main objective of this project is to evaluate the usage of a multispectral camera on a UAV for agricultural applications The aim is to utilise the Tetracam Mini MCA6 multispectral camera and mount it onboard the DJI S800 UAV in order to capture images of an agricultural area for post flight analysis 2 Procedures 2 1 Ground Test The ground test procedures described here shows the steps taken to obtain ground images on the multispectral camera for analysis The following steps describe the steps taken to perform a ground test without a computer 1 Connect a voltage regulator to the Tetracam Mini MCA6 17 18 2 Connect a 4 cell LiPo battery to the voltage regulator 3 Steps 1 and 2 can be replaced by using the supplied power adapter 4 Trigger the camera by pressing the red button in the back panel 5 The following steps are optional and depends on whether the user wants to use a controller box to capture images instead of using the red trigger button i Connect the controller box to the Tetracam Mini MCA6 i Trigger the camera by pressing the Take Pic button The following steps describe the steps taken to perform a ground test with a computer 1 Open Tetracam PixelWrench2 software 2 Move c
22. ursor to View amp click on Show Camera Toolbar Figure 2 1 Step 2 File Edit View Window Print Help Cascade Tile Vertical Tile Horizontal Zoom In Zoom Out Show Image MetaData FOV Optical Calculator Show Spyglass how Camera Toolbar EditTools Index Tools Histogram User Preferences Launch GPS Distiller Launch TifExport 3 Connect the Tetracam Mini MCA6 to the computer via a USB Cable 4 Connect a voltage regulator to the Tetracam Mini MCA6 5 Connect a 4 cell LiPo battery to the voltage regulator 6 Steps 4 and 5 can be replaced when using the supplied power adapter 7 Click on Status in the camera toolbar and select MCA 8 Click on Open Camera to view imagery of the camera 9 Click on Trigger to capture the image 2 2 Flight Test The flight test procedures described here shows the steps taken to obtain images on the multispectral camera that is mounted on the UAV for analysis The following steps describe the steps taken for setting up on a TV television and mounting the Tetracam Mini MCA6 on a UAV for flight test 1 Connect the power adapter to the Tetracam Mini MCA6 and a power socket 2 Connect the controller box and Tetracam Mini MCA6 to the MCA controller multi I O cable 3 Connect the AV Audio Video cable from the controller box to the TV 4 Switch on the power adapter and the TV 5 Use the controller box to select CAPT
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