User Manual - pancroma

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The Spectral Analyzer TM (menu selection ‘<strong>Manual</strong> Method’) to identify thesepixels can also be used to generate masks for cloud and cloud shadow removal.When this option is selected, a second image is generated where the targetpixels are black rather than red. This image can then be used with PANCROMAGap Fill Transfer Method to substitute pixels from a similar cloud-free image intothe mask.Masks produced by this utility can be applied to multispectral band data using the‘Band Math’ | ‘Boolean AND Two Images’ utility described in Section 50.For additional information, see the White Paper available athttp://www.<strong>pancroma</strong>.com/Landsat%20Spectral%20Signature%20Mask.htmlReading Data from USGS ASCII Spectra FilesThe United States Geological Survey (USGS) publishes several spectral librariesfor a wide variety of mineral and organic materials. These spectra can beaccessed and downloaded from the USGS Spectroscopy Lab website athttp://speclab.cr.usgs.gov/. An example of such a spectrum, for the mineralgalena, is shown below.263
Copyright USGSAlthough this data is very useful in graphical form, it is also offered in ASCII fileformat. In this form, the wavelength, reflectance, and standard deviation of thereflectance values are listed as shown in the excerpt below.USGS Digital Spectral Library splib05aClark et. al. 2003, USGS, Open File Report 03-395.For further information on spectroscopy, see: http://speclab.cr.usgs.govASCII Spectral Data file contents:line 15 titleline 16 historyline 17 to end: 3-columns of data:wavelength reflectance standard deviation(standard deviation of 0.000000 means not measured)(*************** indicates a deleted number)----------------------------------------------------Augite WS588 Pyroxene W1R1Ba AREFcopy of splib04a r 6040.205100*************** 0.0438450.213100*************** 0.0066010.221100 0.025804 0.0021180.229100 0.026781 0.0013000.236100 0.025403 0.0011860.242100 0.025548 0.0011320.248100 0.025900 0.0010830.253600 0.024198 0.0010470.258600 0.024068 0.001023264
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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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Page 217 and 218: Grayscale and Color Image TilingIt
Page 219 and 220: GeoreferencingPANCROMA TM has a uti
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Page 223 and 224: When you click ‘OK’, the select
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Page 227 and 228: PANCROMA TM computed that the cover
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Page 243 and 244: Although the run was not successful
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Page 247 and 248: Now select ‘Spectral Analysis’
Page 249 and 250: RapidEye ® Spectral Analyzer TMSpe
Page 251 and 252: Click ‘OK’. The TOA Reflectance
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Page 257 and 258: Euclidean Distance Fraction TM Anal
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Page 261 and 262: In addition to Landsat 7, Spectral
Page 263: Low numbers mean high discriminatio
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Page 277 and 278: 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 291 and 292: Considerable smoothing has occurred
Page 293 and 294: IMPORTANT NOTE: In reality, the con
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Page 297 and 298: In order to deconvolve using fixed
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Page 301 and 302: It will be saved as a .dat file. A
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Page 305 and 306: My area of interest for this image
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Page 309 and 310: Now we will start the pan sharpenin
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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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