User Manual - pancroma

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We are going to use a very obvious feature to demonstrate change detection inthis example: cloud cover. The base image subset area has very little cloudcover, while the changed target has a lot. If change detection works properly, weshould expect the cloud cover to be highlighted as a very measurable change.The next step is to co-register the bands. There are several ways to do this butthe easiest is probably to use the six file subsetting method. This method willcrop the images to the Maximum Common Extents coordinates and rescale theimages if necessary so that the row and column counts will match exactly. (TheMaximum Common Extents are the corner coordinates of the common areabetween the two scenes). The main proviso with this technique is band filelabeling. Since the utility was designed for gap filling, you have to be careful toget your file naming conventions set so that your registered band files do not getconfused.PANCROMA TM provides a file-naming tool in order to facilitate this if you chooseto use it. To illustrate its use, suppose that we have two Landsat scenes asfollows:Group 1 Group 2L71005068_06820030919_B10.TIF L71005068_06820040804_B10.TIFL71005068_06820030919_B20.TIF L71005068_06820040804_B20.TIFL71005068_06820030919_B30.TIF L71005068_06820040804_B30.TIFL71005068_06820030919_B40.TIF L71005068_06820040804_B40.TIFL71005068_06820030919_B50.TIF L71005068_06820040804_B50.TIFL71005068_06820030919_B70.TIF L71005068_06820040804_B70.TIFStart by opening the first three bands of Group 1 and the first three bands ofGroup 2, in order:273
L71005068_06820030919_B10.TIFL71005068_06820030919_B20.TIFL71005068_06820030919_B30.TIFL71005068_06820040804_B10.TIFL71005068_06820040804_B20.TIFL71005068_06820040804_B30.TIFAfter the six band files are opened, select ‘Subset Utilities’ | ‘Subset Images’ |‘Subset Six Bands’. When the Subset Data Entry form becomes visible, checkthe ‘Select Change Subset’ check box and click on the ‘First Group’ radio buttonas shown in the image below.Now select ‘Enter’. The first six band files will be co-registered and displayed asshown in the following image.274
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1. What Is PANCROMA TM ? ..........
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Compute Single Histogram...........
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67. Tutorial - Pan Sharpening Full
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2. What Useful Things Can PANCROMA
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4. PANCROMA TM Features____________
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5. System Requirements_____________
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7. Getting Started_________________
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Each color and NIR band channel con
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determine if one number is differen
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will be shown at the bottom of the
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12. File I/O_______________________
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13. System Variables_______________
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14. Display________________________
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15. The PANCROMA User Interface____
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not find this file , you will be pr
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If you check the ‘Generate Graysc
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19. Image Subsetting_______________
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IMPORTANT NOTE: There is a check bo
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IMPORTANT NOTE: Saving and opening
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When the Input Box becomes visible,
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20. Batch Subsetting_______________
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21. Quick Start - Pan Sharpening an
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During the internal processing of t
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is unlikely that the settings will
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The default method is checked. The
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around 4000 rows by 4000 columns. I
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the ‘Pan Sharpening Pre Processin
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lowerLimit upperLimitThe following
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Another type of unwanted artifact i
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matching algorithm to be applied. T
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25. ENHG Algorithm - Manual Method_
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The next image is the result of pan
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26. ENHG Algorithm - Automatic Meth
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Next, compute the XIONG file. Open
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The XIONG algorithm is one of the m
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29. AJISANE Algorithm______________
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An example of a pan sharpened image
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The spectral match is indicated by
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You must be careful when selecting
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31. ELIN Local Optimization Algorit
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IMPORTANT NOTE: Regions of high con
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Add the green band and the red band
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33. Pan Sharpen Batch File Processi
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34. Working with SPOT® Data_______
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the special image processing utilit
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35. Working with ASTER Data________
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36. Working with Formosat-2 Data___
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100
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ALI data is similar to Landsat with
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38. Working with Digital Globe® Da
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spectral transmission of the telesc
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ow. Make sure you check this before
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40. Working with Landsat Surface Re
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41. Working with Landsat GEOCOVER D
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foreground and background applicati
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GEOCOVER can offer a very attractiv
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After navigation and selecting your
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Although not designed as a data sou
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44. Working with USGS DOQQ and NAPP
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46. Working with MODIS Surface Refl
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47. Working with RapidEye Data_____
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The Transfer method processes the f
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using the PANCROMA TM ‘Preprocess
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and band 5 (MIR) also be input. Thi
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134
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50. Automatic Image Registration of
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The next two images are the registe
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At the present time, PANCROMA TM ca
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Since only a portion of EMR reachin
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144
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‘File’ | ‘Open’. After your
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Haze reduction may be useful in con
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Save your image using GeoTiff file
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The correction is made according to
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54. Image Processing Utilities - Gr
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Input Channel Adjust Group Utility
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55. Image Processing Utilities - SP
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56. Image Processing Utilities - AS
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57. Image Processing Utilities - Pa
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Channel Level AdjustPANCROMA TM pro
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ENHG Scale FactorThe ENHG slider ba
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59. Image Preprocessing____________
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select ‘File’ | ‘Open’ and
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Analyzer. Doubling is done by first
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high pixel brightness in one image
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There are a few rules of thumb rega
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You will need three control points
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• image resampling• geometric m
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ROWS groupsFirst row of dataSecond
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Where QCAL are the calibrated image
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When you select ‘OK’ the surfac
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The rendering below shows a color t
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Q cal = Quantized and calibrated st
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A section of a SPOT metadata file s
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Temperature (measured in degrees Ke
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Calibration requires multiplication
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NIR band, band 2 (green) and band 3
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and 1 (Brightness, a measure of soi
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X-Y Band Scatter PlotsA scatter plo
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presented. Check the ‘Compute Lin
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PANCROMA TM has a utility for regre
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60. Image Post Processing__________
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You can adjust weighting factors fo
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Unsupervised ClassificationUnsuperv
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214
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Grayscale and Color Image TilingIt
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GeoreferencingPANCROMA TM has a uti
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61. Spectral Analysis______________
Page 223 and 224: When you click ‘OK’, the select
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Page 243 and 244: Although the run was not successful
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Page 247 and 248: Now select ‘Spectral Analysis’
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Page 251 and 252: Click ‘OK’. The TOA Reflectance
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Page 257 and 258: Euclidean Distance Fraction TM Anal
Page 259 and 260: The idea is to adjust the included
Page 261 and 262: In addition to Landsat 7, Spectral
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Page 281 and 282: The parameters are as follows:Compu
Page 283 and 284: Object Oriented ClassificationPANCR
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Page 289 and 290: Landsat imageImage magnitude spectr
Page 291 and 292: Considerable smoothing has occurred
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Page 297 and 298: In order to deconvolve using fixed
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Page 301 and 302: It will be saved as a .dat file. A
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Page 305 and 306: My area of interest for this image
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Page 309 and 310: Now we will start the pan sharpenin
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Page 313 and 314: The next step will be to create an
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Page 317 and 318: And my result looked like this:As y
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'Enter' and the Adjust file will be
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PANCROMA TM does the rest after tha
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70. Tutorial - Gap Filling using Ha
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Another reason to keep the Search E
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Gap Filled Grayscale ImageGap Fille
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When you do so a batch processing d
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The images below show subsets taken
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340
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It is also apparent that the graysc
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73. Tutorial - Six File TERAS Batch
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common areas of both scenes. See th
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348
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Use the checked image processing ut
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IssuesAlthough the gap filling proc
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76. Tutorial - Pan Sharpening Lands
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77. Tutorial - Image Processing Wor
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From Next PageSection 13Subset One
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I again selected ‘Close Graphic I
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I then selected ‘Pan Sharpening
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the vegetation tones are still norm
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Reduction’ and then ‘Apply Cont
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acquired during different seasons o
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This image is better than the Trans
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I also prepared an image using the
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Full sized Landsat scenes can be pr
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78. Tutorial - Improving Image Qual
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The following image is the RGB colo
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Press ‘OK’. The transformed gra
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However it is close enough to illus
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The second image is a straightforwa
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It is also possible to combine the
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80. Pan Sharpened Image: Landsat Mo
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82. Pan Sharpened Image: Landsat De
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88. Pan Sharpened Image: EO-1 Mount
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Multiple Linear Regression, 205Mult
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