User Manual - pancroma

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2. What Useful Things Can PANCROMA TM Do?________________________________________________________________PANCROMA TM uses a technique called pan sharpening to produce a highresolutioncolor image from three or four low-resolution multispectral bands plusa high-resolution panchromatic band:Low Res Color Bands + High Res Grayscale Band = Hi Res Color ImageSuch band combinations are commonly bundled in satellite data sets, forexample Landsat, SPOT®, GeoEye® and Digital Globe® commercial packagesas well. Pan sharpening transforms the high-resolution grayscale band into ahigh-resolution color image, doubling or quadrupling the resolution of the colorinformation in the data set.Pan sharpening techniques can result in spectral distortions when pansharpening Landsat images as a result of the nature of the panchromatic band.That is, the raw pan sharpened color image may not exactly match the colortones of the corresponding low resolution RGB image. PANCROMA TM providesproprietary algorithms and utilities to reduce this spectral distortion and toproduce visually pleasing images.In addition, PANCROMA TM fills gaps in post-2003 Landsat 7 data. That is, itallows SLC-Off Landsat band files with 22% missing data to be recovered byfilling the missing gaps with either corresponding pre-2003 legacy band data orpost-2003 data (where the gaps are offset). The program also producessynthetic natural color composites from SPOT® and ASTER band files and canproduce pan sharpened SPOT®, and WorldView® images.PANCROMA TM also offers a variety of unique multispectral image analysis tools,including the Point Spectrum Generator TM for generating spectra frommultispectral data sets, and the Spectral Analyzer TM , for interrogating data sets tomatch input spectra.PANCROMA TM can remove blur from satellite images caused by cameravibration, atmospheric turbulence, and other factors using FFT-baseddeconvolution algorithms.PANCROMA TM also offers a variety of image preprocessing and post processingutilities to help you create high quality images from satellite data. These includehaze reduction, vegetation indices, and much more.7
3. Why PANCROMA TM ?________________________________________________________________• For most of the world, Landsat is the only unrestricted license, no-cost,full-coverage satellite imagery available 1 . PANCROMA TM increases thevalue of this data by doubling the resolution of Landsat color imagery,calibrating and deblurring. (PANCROMA TM can pan sharpen images fromother satellite platforms as well).• Landsat data is multispectral. Landsat provides the only widely availablefree source of valuable multispectral data for land use, mineralprospecting, and other applications. PANCROMA TM image processingutilities increase the usefulness of this data.• All of the Landsat data collected after 2003 contains missing data in theform of unsightly stripes across the images. PANCROMA TM can recoverthese images and synthesize useful images from this data.• PANCROMA TM can also pan sharpen and process data from otherpopular sources, for example EO-1, SPOT, Digital Globe, ASTER andGeoEye.• PANCROMA TM offers a selection of valuable utilities for pre and postprocessing satellite images.1 Note: Google and Microsoft provide satellite data coverage for most of the world. However,use of this data is restricted subject to the terms and conditions of the provider. Google forexample allows free use of their imagery as long as the data is continuously available viaInternet access and as long as no access fee is charged. Google uses image watermarks tohelp enforce their ownership rights. Landsat data on the other hand is copyright-free.8
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 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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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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