User Manual - pancroma

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67. Tutorial - Pan Sharpening Full Size Landsat Files ................ 31868. Tutorial – Gap Filling using Transfer Method......................... 32069. Tutorial – Six File Automatic Method ..................................... 32770. Tutorial – Gap Filling using Hayes Method............................ 33071. Tutorial – Six File Hayes Batch Processing........................... 33572. Tutorial – Gap Filling using TERAS Method .......................... 33773. Tutorial – Six File TERAS Batch Processing ........................ 34474. Tutorial – Pan Sharpen Gap Filled Images............................ 34575. Tutorial - <strong>Manual</strong> Gap Fill Adjustment Procedure.................. 34976. Tutorial - Pan Sharpening Landsat with SPOT...................... 35477. Tutorial – Image Processing Workflow .................................. 35678. Tutorial – Improving Image Quality with Regression ............. 37679. Tutorial – ENHG with AJISANE Processing .......................... 38380. Pan Sharpened Image: Landsat Mountain Region............... 38881. Pan Sharpened Image: Landsat 3, 4, 5 Composite............. 38982. Pan Sharpened Image: Landsat Desert Region................ 39083. Pan Sharpened Image: Landsat Pacific Island Region ........ 39184. Pan Sharpened Image: Landsat Mountain Region............ 39285. Pan Sharpened Image: Landsat Forest Region ................ 39386. Pan Sharpened Image: Landsat Mountain Region............ 39487. Pan Sharpened Image: Landsat Mountain Region............. 39588. Pan Sharpened Image: EO-1 Mountain Region ................ 396Index ...............................................................................................397Version 101Cover Land Use Image Credit NASAContents copyright Terrainmap Earth Imaging LLC 2011, 2012, 2013 all rightsreserved. Contents may not be copied or used for any purpose without expresswritten consent from Terrainmap Earth Imaging LLC5
1. What Is PANCROMA TM ?________________________________________________________________PANCROMA TM is a powerful software application for improving images andextracting information from Landsat, SPOT®, Digital Globe®, GeoEye®,Formosat®, IKONOS®, EO-1 ALI and ASTER satellite multispectral bands. Forexample it can create color RGB images and color pan sharpened images fromsuch data. The program can pan sharpen any file set where the panchromaticband has 2X, 3X, 4X or 6X the resolution of the multispectral bands and that is ina file format that PANCROMA TM can read. The program is designed tocomplement archives such as the free USGS GLOVIS and Earth ExplorerLandsat databases and the free Canadian GeoBase archive of SPOT® data.Free Landsat data is available from other sources as well, and PANCROMA TMcan handle most of the formats that you will encounter. PANCROMA TM is alsorecognized for its powerful Landsat gap filling capabilities, multispectral analysisand image deconvolution.Detail from 15m Pan Sharpened Landsat Image – Chilean Copper Mine6
Page 2 and 3: 1. What Is PANCROMA TM ? ..........
Page 4 and 5: Compute Single Histogram...........
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
Page 52 and 53: is unlikely that the settings will
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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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