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26. ENHG Algorithm – Automatic Method________________________________________________________________The same ENHG process that is described above can be performed in a singleautomatic step that both computes the ENHG image and then uses it to pansharpen the band files. In order to do this simply open the three RGB band files,the NIR file and the panchromatic file in this order:• band1 (blue)• band2 (green)• band3 (red)• band 4 (panchromatic)• band 5 (NIR)IMPORTANT NOTE: You must open the files in the specified order or an errormessage will result.Now select ‘Pan Sharpening’ | ‘HSI Transform’ | ‘ENHG Five File (AutomaticMethod)’. PANCROMA TM will automatically compute the ENHG file and then useit to pan sharpen the band files. You can use the full array of image processingutilities, the same as if you were processing the standard four files.69
27. XIONG Algorithm – <strong>Manual</strong> Method________________________________________________________________The XIONG algorithm offers another alternative to correct the blue spectraldistortion inherent in Landsat panchromatic bands 4 . This algorithm oftenproduces better results than the ENHG algorithm described above.Like the ENHG, both manual and automatic processing is available. If computedas a pre-processing step, the output file is saved for subsequent processing. Inthis case the pan sharpening process is conducted as usual, this timesubstituting XIONG file for the panchromatic band. This example will againassume that a Landsat image is being processed although it can be applied toany image set.The first step is to download five band files as before: bands 1, 2, 3 andpanchromatic as usual for pan sharpening plus the extra (NIR) band: band 5.The easiest way to proceed is to subset the band files first. This allows you toexperiment with the XIONG scale factor in order to iteratively produce the optimalcolor tones without taking up a lot of computing time. PANCROMA TM provides aspecial five-file subset utility for this purpose. After loading your five files in theorder: band1; band2; band3; panchromatic; and NIR band select ‘BandCombination’ | ‘Subset Images’ | ‘Subset Five Bands’.The subsetting procedure is exactly as described for subsetting four bands asdescribed previously except that an additional subsetted file will be producedcorresponding to the NIR band. The usual subsetting techniques can be usedand of course the subset files will be the same size and co-registered.IMPORTANT NOTE: You must open the files in the specified order or an errormessage will result.4The XIONG algorithm is particularly useful when pan sharpening using the Landsatpanchromatic band. The reason is that the Landsat panchromatic band spans wavelengths of0.52 to 0.90 microns. This covers the green, red and NIR bands. This means that a Landsatpanchromatic band contains no blue color information. Pan sharpening using this band can leadto spectral distortion. You can easily notice this when pan sharpening scenes with a high bluespectral component, i.e. forested scenes. Desert scenes in contrast that lack a lot of blue are notso much affected. The PANCROMA TM XIONG and AJISANE algorithms are designed to helpcorrectthis.On the other hand the SPOT panchromatic band spans a spectrum of 0.48 to 0.71 microns. Thisalmost exactly covers the blue, green and red spectral bands. Pan sharpening with the SPOTpanchromatic band does not produce the kind of spectral distortions common with Landsat, andthe XIONG algorithm may actually produce poorer results than the four-file HSI algorithm. It isgenerally helpful to check the specifications of the panchromatic band in whatever data set youare using in order to select the most appropriate pan sharpening algorithm.70
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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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Page 23 and 24: 12. File I/O_______________________
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Page 32: not find this file , you will be pr
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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
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Page 46 and 47: 20. Batch Subsetting_______________
Page 48 and 49: 21. Quick Start - Pan Sharpening an
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Page 68 and 69: The next image is the result of pan
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Page 78 and 79: An example of a pan sharpened image
Page 80 and 81: The spectral match is indicated by
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Page 87 and 88: IMPORTANT NOTE: Regions of high con
Page 89 and 90: Add the green band and the red band
Page 91 and 92: 33. Pan Sharpen Batch File Processi
Page 93 and 94: 34. Working with SPOT® Data_______
Page 95 and 96: the special image processing utilit
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Page 103 and 104: ALI data is similar to Landsat with
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Page 111 and 112: 40. Working with Landsat Surface Re
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Page 115 and 116: foreground and background applicati
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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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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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