User Manual - pancroma

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In order to adjust the color balance of an RGB image, load three band files asdescribed in the section entitled “Processing Data - RGB Pseudo True ColorImage”. Select the ‘Activate Image Processing Routines’ check box. Now select‘Band Combination | Generate RGB True Color Composite from ETM+’. TheImage Processing Data Input dialog box will appear.Now enable the ‘Enable Channel Level Adjust’ check box. When you do threesliders will appear, one for each of the Red, Green and Blue channels. Anothercheck box will also appear allowing you to lock the sliders together if you wish.You can add or subtract the indicated values from each channel or from allchannels, thereby adjusting the color balance of the processed image. The radiobuttons are channel presets, one for neutral, one to enhance desert images andanother to improve forested images. Once selecting a preset you can fine tuneby moving the sliders if you wish.157
55. Image Processing Utilities – SPOT Images________________________________________________________________Image processing of SPOT false color composites proceeds exactly likeprocessing true color RGB images, except that the sliders designated ‘Red’,‘Green’, and ‘Blue’ will adjust the intensities of the green, red and near-infraredbands, respectively. PANCROMA TM also offers the option of synthesizingnatural color images from the false color bands. To generate a pseudo true colorimage from SPOT green, red and NIR bands, first open the three bands in thestated order. Then select ‘Display Files’ | ‘Generate RGB Composite fromSPOT’. Often the color using the default settings is acceptable. Examples of aSPOT false color composite (as received from the USGS) and a pseudo truecolor composite generated using the utility are shown below.To adjust the color of these images, you may check the Activate ImageProcessing Routines’ check box and use the ‘SPOT Adjust’ group at the lowerright of the control panel.158
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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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ALI data is similar to Landsat with
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38. Working with Digital Globe® Da
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Page 111 and 112: 40. Working with Landsat Surface Re
Page 113 and 114: 41. Working with Landsat GEOCOVER D
Page 115 and 116: foreground and background applicati
Page 117 and 118: GEOCOVER can offer a very attractiv
Page 119 and 120: After navigation and selecting your
Page 121 and 122: Although not designed as a data sou
Page 123 and 124: 44. Working with USGS DOQQ and NAPP
Page 125 and 126: 46. Working with MODIS Surface Refl
Page 127 and 128: 47. Working with RapidEye Data_____
Page 129 and 130: The Transfer method processes the f
Page 131 and 132: using the PANCROMA TM ‘Preprocess
Page 133 and 134: and band 5 (MIR) also be input. Thi
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Page 137 and 138: 50. Automatic Image Registration of
Page 139 and 140: The next two images are the registe
Page 141 and 142: At the present time, PANCROMA TM ca
Page 143 and 144: Since only a portion of EMR reachin
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Page 147 and 148: ‘File’ | ‘Open’. After your
Page 149 and 150: Haze reduction may be useful in con
Page 151 and 152: Save your image using GeoTiff file
Page 153 and 154: The correction is made according to
Page 155 and 156: 54. Image Processing Utilities - Gr
Page 157: Input Channel Adjust Group Utility
Page 161 and 162: 56. Image Processing Utilities - AS
Page 163 and 164: 57. Image Processing Utilities - Pa
Page 165 and 166: Channel Level AdjustPANCROMA TM pro
Page 167 and 168: ENHG Scale FactorThe ENHG slider ba
Page 169 and 170: 59. Image Preprocessing____________
Page 171 and 172: select ‘File’ | ‘Open’ and
Page 173 and 174: Analyzer. Doubling is done by first
Page 175 and 176: high pixel brightness in one image
Page 177 and 178: There are a few rules of thumb rega
Page 179 and 180: You will need three control points
Page 181 and 182: • image resampling• geometric m
Page 183 and 184: ROWS groupsFirst row of dataSecond
Page 185 and 186: Where QCAL are the calibrated image
Page 187 and 188: When you select ‘OK’ the surfac
Page 189 and 190: The rendering below shows a color t
Page 191 and 192: Q cal = Quantized and calibrated st
Page 193 and 194: A section of a SPOT metadata file s
Page 195 and 196: Temperature (measured in degrees Ke
Page 197 and 198: Calibration requires multiplication
Page 199 and 200: NIR band, band 2 (green) and band 3
Page 201 and 202: and 1 (Brightness, a measure of soi
Page 203 and 204: X-Y Band Scatter PlotsA scatter plo
Page 205 and 206: presented. Check the ‘Compute Lin
Page 207 and 208: 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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Grayscale and Color Image TilingIt
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GeoreferencingPANCROMA TM has a uti
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61. Spectral Analysis______________
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When you click ‘OK’, the select
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The plot shows all of the computed
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PANCROMA TM computed that the cover
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Landsat Reflectance Point Spectrum
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SPOT ® Point Spectrum Generator TM
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will become disabled and the Color
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When the ‘Zoom Disabled’ radio
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Digital spectra are recorded for mi
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The next step is to overlay the Lan
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http://www.science.aster.ersdac.or.
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Although the run was not successful
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The pan sharpened image was created
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Now select ‘Spectral Analysis’
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RapidEye ® Spectral Analyzer TMSpe
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Click ‘OK’. The TOA Reflectance
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The second plot is shown below, dis
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have to rationalize the file sizes.
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Euclidean Distance Fraction TM Anal
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The idea is to adjust the included
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In addition to Landsat 7, Spectral
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Low numbers mean high discriminatio
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Copyright USGSAlthough this data is
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Note that the band 6 (TIR) track ba
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higher (whiter) the grayscale pixel
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The table with the manually input r
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this does not correspond to physica
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L71005068_06820030919_B10.TIFL71005
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L71005068_06820040804_B50.TIFL71005
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The parameters are as follows:Compu
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Object Oriented ClassificationPANCR
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to the other. For example a filter
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carefully. PANCROMA TM is able to p
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Landsat imageImage magnitude spectr
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Considerable smoothing has occurred
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IMPORTANT NOTE: In reality, the con
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The following is an example of an i
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In order to deconvolve using fixed
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63. Writing an Index File for an SR
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It will be saved as a .dat file. A
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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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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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