User Manual - pancroma

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Note that you can flip back and forth between the base image and the classifiedimage by selecting ‘Switch Images’ | ‘Base Image’ and ‘Switch Images’ | ‘SpectralImages 1’241
Although the run was not successful in discriminating Lawn Grass, a fewconclusions can be drawn:• The method did seem to be a fairly sensitive discriminator for the plowedfields• More experimentation with the selection criteria might find the grassyfields as intended• The technique appears to be more sensitive and more positive than eitherfalse color composites or classification• It is clear why more multispectral bands are better, and why hyperspectraldata is the best for this purpose. It is also clear why 11 bit or 16 bit data isbetter than 8 bit data, as the former yields more resolving power forapplications like thisThe PANCROMA TM LSA is a powerful tool for exploring and characterizinggeological and agricultural aspects of the earth’s surface with many possibleuseful applications. However like most tools, it still relies on the expertise andskill of the user to produce the best results. This example showed how it ispossible to discriminate plowed fields in an image. Although this particular taskwas relatively simple, the method is equally applicable to cases where thediscrimination is not so obvious, as in mineral exploration.Landsat Reflectance Spectral Analyzer TMAs described above, the PANCROMA TM Spectral Analyzer TM can convertLandsat band file DNs to TOA reflectance and then compare the computedreflectance values to archived surface spectra. The USGS offers Landsat datasurface reflectance data. This information is archived in at least two formats. TheGlobal Land Cover Facility archives surface reflectance values in I16, LittleEndian format. GLOVIS archives the six multispectral bands in a single PlanarConfiguration=2 file. PANCROMA can decode both of these formats butcurrently the Spectral Analyzer TM can only process the individual bands archivedat GLCF. It uses the data in these files directly instead of computing TOAreflectance values from Landsat DNs.There are several advantages to using surface reflectance as an alternative toDNs or even computing TOA reflectances from DNs. Surface reflectance isbasically TOA reflectance corrected for atmospheric effects. As a result, surfacereflectance values are generally superior to TOA reflectance as removing theatmospheric effects makes them more similar to the archived spectra, as thesevalues are usually measured directly at the surface. Another advantage isprecision.The surface reflectance values are archived as 16-bit integers with a valid rangeof –2000 to 16000. A value of –9999 represents ‘no data’ while 20000 is‘saturation’. PANCROMA TM sets ‘no data’ and ‘saturation’ values equal to zeroand decodes the valid integers, scaling them by a factor of 0.000100 (in242
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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
Page 191 and 192: Q cal = Quantized and calibrated st
Page 193 and 194: A section of a SPOT metadata file s
Page 195 and 196: Temperature (measured in degrees Ke
Page 197 and 198: Calibration requires multiplication
Page 199 and 200: NIR band, band 2 (green) and band 3
Page 201 and 202: and 1 (Brightness, a measure of soi
Page 203 and 204: X-Y Band Scatter PlotsA scatter plo
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Page 207 and 208: PANCROMA TM has a utility for regre
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Page 211 and 212: You can adjust weighting factors fo
Page 213 and 214: Unsupervised ClassificationUnsuperv
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Page 217 and 218: Grayscale and Color Image TilingIt
Page 219 and 220: GeoreferencingPANCROMA TM has a uti
Page 221 and 222: 61. Spectral Analysis______________
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 231 and 232: SPOT ® Point Spectrum Generator TM
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Page 239 and 240: The next step is to overlay the Lan
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Page 245 and 246: The pan sharpened image was created
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
Page 259 and 260: The idea is to adjust the included
Page 261 and 262: In addition to Landsat 7, Spectral
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Page 267 and 268: Note that the band 6 (TIR) track ba
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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
Page 285 and 286: to the other. For example a filter
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Page 289 and 290: Landsat imageImage magnitude spectr
Page 291 and 292: 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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