User Manual - pancroma

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When gap filling additional sets, you should just repeat the six file procedure aftergap filling the first set. In this case you will have one set of three (partially) gapfilled band files and the third set that you have not used yet. Just repeat the sixfile subsetting method with these two sets. This can be repeated for as manydata sets as necessary.329
70. Tutorial – Gap Filling using Hayes Method________________________________________________________________The third PANCROMA TM method for filling gaps in Landsat ETM+ images is theHayes Interpolation method. This procedure uses a computational approach tosolving the gap filling problem. Instead of directly substituting the missing pixelsfrom the Adjust image into the Reference image, it computes the brightness levelof each missing pixel in the Reference image using information on correspondingpixels in the Adjust image.Like the Transfer method, the Hayes method also requires exactly matchedReference and Adjust images. The procedure for producing them is exactly thesame as described in the previous Tutorials, using either the semi-automatic orfully automatic methods for co-registering your two sets of three Landsat bandfiles.After you produce the matched images the gap filling procedure is similar with afew important differences. You start the filling procedure by opening first theReference (grayscale) image (the one with the gaps), followed by the Adjustimage.When the images are loaded, select ‘Gap Fill’ | ‘Gap Fill Hayes Method’. A GapFill Data Form will appear. You can select the algorithm parameters: SearchExtents, the Gap Threshold and the Comparison Radius. The default values are20, 4 and 4, respectively.The Search Extents defines the size of the sliding window within whichPANCROMA TM will look for similar pixels. PANCROMA TM will search the target+/- the Search Extents, so the size of the window is twice the Search Extentsvalue.The Comparison Radius value determines how closely a searched pixel must beto the target pixel in order to be considered ‘similar’. The default value is 4,meaning that pixels within 4 levels of the target will be considered similar. Forexample, if the target has value 83 and the Threshold is 4, then coordinates ofpixels with values 79, 80, 81, 82, 83, 84, 85, 86 and 87 will be considered assimilar for purposes of the computation.The Gap Threshold determines which pixels in the Reference image will becomputed. Any pixel with a brightness value less than the Gap Threshold will beconsidered a missing pixel and PANCROMA TM will attempt to fill it. After youselect your values, the program will compute the gap filled image. Note that ahistogram match will not be computed for the Hayes method, as it does notgenerally benefit the result.330
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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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will be shown at the bottom of the
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12. File I/O_______________________
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13. System Variables_______________
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14. Display________________________
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15. The PANCROMA User Interface____
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not find this file , you will be pr
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If you check the ‘Generate Graysc
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19. Image Subsetting_______________
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IMPORTANT NOTE: There is a check bo
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IMPORTANT NOTE: Saving and opening
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When the Input Box becomes visible,
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20. Batch Subsetting_______________
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21. Quick Start - Pan Sharpening an
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During the internal processing of t
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is unlikely that the settings will
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The default method is checked. The
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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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Page 281 and 282: The parameters are as follows:Compu
Page 283 and 284: Object Oriented ClassificationPANCR
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Page 297 and 298: In order to deconvolve using fixed
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Page 309 and 310: Now we will start the pan sharpenin
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Page 313 and 314: The next step will be to create an
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Page 323 and 324: You can use the 'Max Cloud' drop do
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Page 329: PANCROMA TM does the rest after tha
Page 333 and 334: Another reason to keep the Search E
Page 335 and 336: Gap Filled Grayscale ImageGap Fille
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Page 343 and 344: It is also apparent that the graysc
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Page 359 and 360: From Next PageSection 13Subset One
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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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