User Manual - pancroma

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1. What Is PANCROMA TM ? ............................................................... 62. What Useful Things Can PANCROMA TM Do? .............................. 73. Why PANCROMA TM ? .................................................................... 84. PANCROMA TM Features............................................................... 95. System Requirements................................................................. 116. Installation ................................................................................... 127. Getting Started ............................................................................ 138. Landsat 7 Data Sets.................................................................... 149. Landsat 8 Data Sets.................................................................... 1610. Downloading Data.................................................................... 1911. Coordinate Display................................................................... 2112. File I/O...................................................................................... 2213. System Variables ..................................................................... 24Information Messages .................................................... 24File Size Verification ....................................................... 2414. Display...................................................................................... 26Zoom Out ........................................................................ 26Zoom In........................................................................... 26Flip Image ....................................................................... 28Rotate Image 180 Degrees............................................. 2815. The PANCROMA User Interface ............................................. 2916. Quick Start-Display a Single Grayscale Image........................ 3017. Quick Start - RGB Color Image from Band files ...................... 3318. Display RGB Color Composite Image...................................... 3519. Image Subsetting ..................................................................... 3720. Batch Subsetting ...................................................................... 4521. Quick Start – Pan Sharpening an Image ................................. 4722. Pan Sharpening Transformation Methods ............................... 5023. Pan Sharpening Interpolation Methods.................................... 5224. Histogram Matching ................................................................. 5625. ENHG Algorithm – Manual Method......................................... 6526. ENHG Algorithm – Automatic Method ..................................... 6927. XIONG Algorithm – Manual Method ........................................ 7028. XIONG Algorithm – Automatic Method .................................... 7429. AJISANE Algorithm .................................................................. 7530. SPECTRAL Pan Sharpening Algorithm................................... 7831. ELIN Local Optimization Algorithm .......................................... 8332. RGB Color Image Batch File Processing................................. 8733. Pan Sharpen Batch File Processing ........................................ 901
34. Working with SPOT® Data....................................................... 9235. Working with ASTER Data....................................................... 9636. Working with Formosat-2 Data ................................................ 9837. Working with EO-1 ALI Data .................................................. 10138. Working with Digital Globe® Data.......................................... 104WorldView2 Imagery..................................................... 104QuickBird Imagery ........................................................ 107Pan Sharpening WorldView2 and QuickBird Imagery.. 10739. Working with GeoEye® Data ................................................. 10940. Working with Landsat Surface Reflectance Data .................. 11041. Working with Landsat GEOCOVER Data .............................. 11242. Working with WorldWind Elevation Data ............................... 11743. Working with NAIP Data......................................................... 12144. Working with USGS DOQQ and NAPP Data......................... 12245. Working with VITO SPOT Vegetation Data ........................... 12346. Working with MODIS Surface Reflectance Data ................... 12447. Working with RapidEye Data ................................................. 12648. Gap Filling a Landsat 7 ETM+ Image .................................... 12749. Gap Filling Cloud Masks for Landsat ETM+ Images ............ 12950. Automatic Image Registration of Six Band Files.................... 13651. Haze Reduction – Dark Area Method .................................... 14152. Haze Reduction – Haze Optimized Transform Method ......... 14553. Haze Reduction – DEM Method ............................................ 14954. Image Processing Utilities – Grayscale and RGB ................. 15455. Image Processing Utilities – SPOT Images........................... 15856. Image Processing Utilities - ASTER Images ........................ 16057. Image Processing Utilities – Panchromatic Images .............. 16258. Resizing an Image by an Integer Multiple.............................. 16759. Image Preprocessing ............................................................. 168Histogram Matching...................................................... 168Histogram Equalization................................................. 169Histogram Stretching .................................................... 169Gamma Correction........................................................ 169Band Math - Image Subtraction.................................... 170Band Math - Band Ratios.............................................. 170Band Math - Band Linear Combinations....................... 171Band Math – Boolean AND two Images....................... 171Resize Images .............................................................. 171Pixel Shift ...................................................................... 172Compute Single and Double Histograms ..................... 1732
Page 4 and 5: Compute Single Histogram...........
Page 6 and 7: 67. Tutorial - Pan Sharpening Full
Page 8 and 9: 2. What Useful Things Can PANCROMA
Page 10 and 11: 4. PANCROMA TM Features____________
Page 12 and 13: 5. System Requirements_____________
Page 14 and 15: 7. Getting Started_________________
Page 16 and 17: Each color and NIR band channel con
Page 18: determine if one number is differen
Page 21 and 22: will be shown at the bottom of the
Page 23 and 24: 12. File I/O_______________________
Page 25 and 26: 13. System Variables_______________
Page 27: 14. Display________________________
Page 30 and 31: 15. The PANCROMA User Interface____
Page 32: not find this file , you will be pr
Page 35 and 36: If you check the ‘Generate Graysc
Page 38 and 39: 19. Image Subsetting_______________
Page 40 and 41: IMPORTANT NOTE: There is a check bo
Page 42 and 43: IMPORTANT NOTE: Saving and opening
Page 44 and 45: When the Input Box becomes visible,
Page 46 and 47: 20. Batch Subsetting_______________
Page 48 and 49: 21. Quick Start - Pan Sharpening an
Page 50 and 51: 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
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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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326
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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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