User Manual - pancroma

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The Tasseled Cap transformation can be computed from band file digitalnumbers (DNs) or more correctly using Top of Atmosphere reflectance, which isthe default condition. If you compute using reflectance values, you must obtainthe Solar Elevation Angle and the Acquisition Date from the Landsat metadatafiles as described in the section above entitled ‘Landsat Top of AtmosphereReflectance’. If you wish to use DNs, check the ‘Compute using DNs’ radiobutton.The ‘Render Color Image’ check box is also true by default. If you wish you canindividually select the ‘Write Float’ check boxes. Checking these will causePANCROMA TM to write the raw Tasseled Cap values to disk file. You can outputone, two, all three, or none of these files. Be advised that each one contains fourtimes the bytes of the input band files as the values are 32 bits each rather than8 like the input band files.After processing, a composite color image will be displayed rendering theTasseled Cap transformation. You can save this file to disk as usual byselecting ‘File’ | ‘Save RGB Image’. An example of such an image is shownbelow.201
X-Y Band Scatter PlotsA scatter plot can provide a graphical way to examine the correlation betweentwo bands. PANCROMA TM has the capability to compute scatter plots forcomparing two band files to each other. The comparison is computed a follows:for each pixel with row and column count location [ i ] [ j ] in the each image, plotthe DN of the first image pixel versus the DN of the second image pixel. Zerovalues are ignored. This latter provision is to prevent the plot from being skewedas a result of zero value collar pixels. To compute a scatter plot, select ‘File’ |‘Open’ and open two input bands Then select ‘PreProcess’ | ‘X-Y Band ScatterPlot’. A data entry box will be presented. Select ‘OK’ and the plot will begenerated. Such a plot is shown in the image below. (Note that there may bemany superpositions in such a plot where multiple DNs in the first band plot tothe same DNs in the second band.)202
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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
Page 151 and 152: Save your image using GeoTiff file
Page 153 and 154: The correction is made according to
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Page 157 and 158: Input Channel Adjust Group Utility
Page 159 and 160: 55. Image Processing Utilities - SP
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
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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 1 (Brightness, a measure of soi
Page 205 and 206: presented. Check the ‘Compute Lin
Page 207 and 208: PANCROMA TM has a utility for regre
Page 209 and 210: 60. Image Post Processing__________
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
Page 237 and 238: Digital spectra are recorded for mi
Page 239 and 240: The next step is to overlay the Lan
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Page 243 and 244: Although the run was not successful
Page 245 and 246: The pan sharpened image was created
Page 247 and 248: Now select ‘Spectral Analysis’
Page 249 and 250: RapidEye ® Spectral Analyzer TMSpe
Page 251 and 252: 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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278
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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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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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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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