User Manual - pancroma

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21. Quick Start – Pan Sharpening an Image________________________________________________________________You can produce a pan sharpened image almost as easily as producing an RGBimage. To begin the process, Select ‘File’ | ‘Open’ as described in the ‘ImageSubsetting’ section above. Successively select the band images in the order:blue; green; red. In addition, open one additional file, namely the associatedpanchromatic image with the …nn80… (GeoTiff) or ‘…_B80.L1G’ suffix as well.It is recommended that you run your first panchromatic computation with asubsetted Landsat image set, prepared as described above. This will save a lotof computing time while you learn the method and iterate the process in order toachieve the best results.IMPORTANT NOTE: if you are processing Landsat images with the suffix ‘L1G’(raw binary format), it is necessary to obtain the metadata file and to have it inthe same directory as the band and panchromatic files. This file has the suffix‘…_MTL_L1G.mht’, for example: ‘L71002073_07319991106_MTL_L1G.mht’.Note: the metadata file is available in different formats. Be sure to select theHTML version with the file suffix .mht’. If the file is named something different,rename it to match the format above. If PANCROMA TM does not find this file ,you will be prompted to enter the row and column count data manually. Thesewill always be labeled ‘lines’ and ‘samples’ and will look something like this in themetadata files:IMPORTANT NOTE: Some browsers may add control characters when savingthe .mht file. These characters may prevent PANCROMA TM from successfullyreading the metadata. It is usually safest to save the .mht file as a text file (.txt)and then rename it as an .mht file.PRODUCT_SAMPLES_PAN = 15781PRODUCT_LINES_PAN = 13961PRODUCT_SAMPLES_REF = 7891PRODUCT_LINES_REF = 6981IMPORTANT NOTE: The exact number of SAMPLES and LINES variessomewhat from one Landsat file to the next. The first two entries are for the PANfile and the latter two are for the band files. You will not care about this at all forGeoTiff format as the metadata is embedded in the GeoTiff band and PAN filesthemselves. For L1G you will not care either as long as you download themetadata file into the same directory as the band and panchromatic file data asdescribed.When all four files are opened successfully, the relevant menu selections andcheck boxes will be enabled. If you do not wish to set any pre or post imageprocessing parameters, select ‘Pan Sharpen’ from the menu bar. You will be47
presented with a choice of several pan sharpening methods, for example: ‘HSITransform’ or ‘Brovey Transform’. PANCROMA TM provides several differentalgorithms for producing panchromatic images. Different algorithms arenecessary in order to best compensate for spectral distortions inherent withdifferent satellite data sets.The HSI transform is a good one to start with. However for many data setsXIONG and ENHG variants yield better results. The AJISANE algorithm uses acompletely different computational approach. You may wish to experiment withall of them. (Technical details regarding these algorithms are given in Section15). If you select ‘HSI Transform’ you will be presented with submenu selectionsof ‘Standard Four File’, ‘XIONG Five File’ or ‘ENHG Five File’ choices. Select‘Standard Four File’. The other options can produce improved color tones andthey will be described in subsequent sections.After opening your files and selecting the HSI processing option, you will bepresented with a dialog box prompting you to select the number of HSI iterations.If you selected HSI processing you will also have the option of checking the‘Landsat Color Enhancement’ check box. Checking this box invokes specialimage processing algorithms to help compensate for spectral distortionintroduced by the Landsat panchromatic band and may result in better colortones. This option will not appear on the Pan Sharpen Form if HSI processing isnot selected. (This option is also enabled for AJISANE processing).48
Page 2 and 3: 1. What Is PANCROMA TM ? ..........
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 50 and 51: During the internal processing of t
Page 52 and 53: is unlikely that the settings will
Page 54 and 55: The default method is checked. The
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Page 62 and 63: Another type of unwanted artifact i
Page 64 and 65: matching algorithm to be applied. T
Page 66 and 67: 25. ENHG Algorithm - Manual Method_
Page 68 and 69: The next image is the result of pan
Page 70 and 71: 26. ENHG Algorithm - Automatic Meth
Page 72 and 73: Next, compute the XIONG file. Open
Page 74 and 75: The XIONG algorithm is one of the m
Page 76 and 77: 29. AJISANE Algorithm______________
Page 78 and 79: An example of a pan sharpened image
Page 80 and 81: The spectral match is indicated by
Page 82 and 83: You must be careful when selecting
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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
Page 97 and 98: 35. Working with ASTER Data________
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36. Working with Formosat-2 Data___
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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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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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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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