User Manual - pancroma

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Note that the TOA Reflectance Data Form contains a check box marked ‘Write 8-Bit GeoTiff File. If this box is checked, PANCROMA TM will write the EuclideanDistance or Spectral Angle values to a GeoTiff file. The values will be scaledbetween 0-255 so that they can be viewed in other applications. Note that thedarker the grayscale pixel value, the smaller the Euclidean Distance, so targetareas will appear black.After a bit of computation, two images will become visible, a grayscale image andan RGB contour image. The grayscale image displays the Euclidean Distances,scaled to fall between 0 and 255. The RGB contour plot plots the actualEuclidean Distances with red being the shortest distance and violet being thegreatest. Note that in the grayscale plot, black represents the closest match andpure white (DN=255) is the farthest distance. If you are running two spectra, theSpectral Criteria Form will appear a second time. This time enter the secondspectrum.The analysis shown below uses the Euclidean distance method, running thesnow pack example with two input spectra. I generated target vectors using thePoint Spectrum Generator TM . After clicking on the targets in each image andselecting a dozen or so points, I checked the ‘Enter Spectrum into Analyzer’check box. In addition to generating my spectrum, it automatically entered thefirst set of average reflectance values into the Spectral Criteria Form. (Thesecond set has to be entered manually).The following image shows the first Euclidean Distance plot. The bright redareas correspond to the minimum Euclidean Distance and therefore the bestmatch with the target vector. The purple areas are the worst matches, i.e. thefarthest Euclidean Distances. The red areas correspond to the obvious snowareas in the band images, with the orange and yellow areas being probablematches as well in this case. Note that you can turn off the color scale byunchecking the ‘Display Euclidean Distance Scale’ check box on the SpectralCriteria form.251
The second plot is shown below, displayed by selecting the ‘Switch Images’ |‘Spectral Images 2’ menu selection. Finally, the base image, accessed byselecting ‘Switch Images’ | ‘Base Image’.252
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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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Page 203 and 204: X-Y Band Scatter PlotsA scatter plo
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Page 207 and 208: PANCROMA TM has a utility for regre
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Page 211 and 212: You can adjust weighting factors fo
Page 213 and 214: Unsupervised ClassificationUnsuperv
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Page 217 and 218: Grayscale and Color Image TilingIt
Page 219 and 220: GeoreferencingPANCROMA TM has a uti
Page 221 and 222: 61. Spectral Analysis______________
Page 223 and 224: When you click ‘OK’, the select
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Page 227 and 228: PANCROMA TM computed that the cover
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Page 231 and 232: SPOT ® Point Spectrum Generator TM
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Page 235 and 236: When the ‘Zoom Disabled’ radio
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Page 243 and 244: Although the run was not successful
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Page 251: 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
Page 263 and 264: Low numbers mean high discriminatio
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Page 267 and 268: Note that the band 6 (TIR) track ba
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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
Page 293 and 294: IMPORTANT NOTE: In reality, the con
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Page 297 and 298: In order to deconvolve using fixed
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64. Processing Huge Files and File
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My area of interest for this image
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306
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Now we will start the pan sharpenin
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66. Tutorial - Pan Sharpened Image
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The next step will be to create an
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The panchromatic image is the one i
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And my result looked like this:As y
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67. Tutorial - Pan Sharpening Full
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68. Tutorial - Gap Filling using Tr
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You can use the 'Max Cloud' drop do
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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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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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