User Manual - pancroma

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15. The PANCROMA <strong>User</strong> Interface_____________________________________________________________The PANCROMA TM user interface is shown below.The principal components of the user interface are:• Main Window – This will always be displayed as long as PANCROMA TM isrunning.• Menu Area – This is the menu location for the system.• Data Area – System information is echoed to this screen. This informationinforms you of PANCROMA TM state and progress executing the selectedtask. The information displayed here is also useful for diagnosingproblems if you need customer support.• System Information Area – Displays the status of certain systeminformation that is selected by the ‘System’ menu bar selection.• Image – One or more of these will be displayed during processing or atthe end of processing.• Image Information Area – Shows data for one or more images, forexample coordinates and pixel grayscale or color channel levels.• Data Entry Form – This is how user-supplied information is entered intothe system. These will be displayed as needed during the course ofprocessing after you make your menu selection.29
16. Quick Start-Display a Single Grayscale Image_____________________________________________________________Once you have unzipped the data files, you are ready to begin processing. (Note:if you have done this correctly your files will have the suffix ‘.tif’ or ‘.L1G’.Although PANCROMA TM can import .jpg and .bmp format, Landsat images arenot normally archived in this format. You may find .jpg and .bmp useful forstoring your PANCROMA TM processed file.)The simplest PANCROMA TM task is to display and examine a single Landsatgrayscale band file. It is a good idea to do this before trying more complicatedimage processing tasks just to make sure that you have acquired your datacorrectly and understand how to manipulate images in PANCROMA TM . This isdone by selecting ‘File’ | ‘Open’ as shown in the image below and then openingany single GeoTiff (‘.tif’) or L1G file from the sets you downloaded (i.e. any …10;…20; or …30 type file). (You can likewise open the panchromatic (…80) band.This file is larger and takes a bit longer to display.) The menu selectionnecessary to open a file is shown in the figure below.IMPORTANT NOTE: if you are processing Landsat .L1G images, it isnecessary to download the metadata file into the same directory as the band andpanchromatic files. This is because the L1G flat binary format is not capable ofincluding image metadata itself. The companion metadata file has the suffix‘…_MTL.L1G.htm’. Note: the metadata file is available in different formats. Besure to select the HTML version with the file suffix .mht’. (If PANCROMA TM does30
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 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
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
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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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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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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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