User Manual - pancroma

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The color tones are acceptably close to the 30mRGB image generated earlier.However, there are some artifacts that are the result of the image processingrequired to get these tones. As a check, I also made an AJISANE run to seehow this would compare. To do this, I reset PANCROMA by selecting ‘CloseGraphic Images and Reset’. I then opened the same five band files as forXIONG in the exact same order. I checked the ‘Activate Image ProcessingRoutines’ and I then selected ‘Pan Sharpening’ | ‘HSI Transform’ | AJISANE FiveFile Transform’ | ‘Simple’. I added 22 units of blue, green and red pixel levels bychecking ‘Enable Channel Level Adjust’ and also ‘Lock RGB Color Ratio’. Igrabbed one of the sliders and moved it to ‘22’. I checked ‘Apply Haze365
Reduction’ and then ‘Apply Contrast Adjust’ and added 285 and 1017 units ofeach, respectively. My results are shown below:Although this image does not suffer from the dark artifacts of the XIONG run thetones are not right. This is definitely a difficult image. I accepted the XIONGimage as optimal.The next step was to attempt a subset-level gap fill. Gap filling must currently bedone on a pair wise basis, i.e. first the two band1 file pair, then the band2 filepair, etc. To get started, reset PANCROMA by selecting ‘Close Graphic Imagesand Reset’ as usual. Open the band1 subset file with the gaps first, then the366
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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______________
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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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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
Page 315 and 316: The panchromatic image is the one i
Page 317 and 318: And my result looked like this:As y
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Page 323 and 324: You can use the 'Max Cloud' drop do
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Page 329 and 330: PANCROMA TM does the rest after tha
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Page 333 and 334: Another reason to keep the Search E
Page 335 and 336: Gap Filled Grayscale ImageGap Fille
Page 337 and 338: When you do so a batch processing d
Page 339 and 340: The images below show subsets taken
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Page 343 and 344: It is also apparent that the graysc
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Page 347 and 348: common areas of both scenes. See th
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Page 351 and 352: Use the checked image processing ut
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Page 359 and 360: From Next PageSection 13Subset One
Page 361 and 362: I again selected ‘Close Graphic I
Page 363 and 364: I then selected ‘Pan Sharpening
Page 365: the vegetation tones are still norm
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Page 373 and 374: I also prepared an image using the
Page 375 and 376: Full sized Landsat scenes can be pr
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Page 379 and 380: The following image is the RGB colo
Page 381 and 382: Press ‘OK’. The transformed gra
Page 383 and 384: However it is close enough to illus
Page 385 and 386: The second image is a straightforwa
Page 387 and 388: It is also possible to combine the
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Page 391 and 392: 82. Pan Sharpened Image: Landsat De
Page 397 and 398: 88. Pan Sharpened Image: EO-1 Mount
Page 399: Multiple Linear Regression, 205Mult
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