User Manual - pancroma

More documents

Recommendations

Info

This turned out to be a difficult image. The main problem was the mismatch inthe cultivated fields that I could never really rationalize. However, considerableimage processing was able to produce a couple of promising pan sharpenedsubset images. The next step is to apply the subset results to the full sizeLandsat scenes.373
Full sized Landsat scenes can be processed in a way that is similar to preparingsmaller subsets. I used PANCROMA TM five file utility to get started. This utilityautomatically subsets a set of five band files, typically band1, band2, band3, thepanchromatic band, and the NIR band. to the maximum common area sharedbetween them. However, I needed the Maximum Common Extents coordinatesto do so I first selected ‘File | ‘Open’ and openedL71074091_09120050303_B10.TIF and p074r091_7dt19991216_z59_10.tif. Ithen selected ‘Band Combination’ | ‘Subset Images’ | ‘Compute MaximumCommon Extents’. The coordinates of the maximum overlap area was computedas follows 1 :Maximum Extents Coordinates:upperLeftX is: 406200upperLeftY is: -4828800lowerRightX is: 658830lowerRightY is: -5050830I then clicked ‘Close Graphic Images and Reset’, and selected ‘File | ‘Open’ andopened five band files from the first scene:L71074091_09120050303_B10.TIFL71074091_09120050303_B20.TIFL71074091_09120050303_B30.TIFL71074091_09120050303_B80.TIFL71074091_09120050303_B40.TIF (enter in this order!)I then selected ‘Band Combination’ | ‘Subset Images’ | ‘Subset Five Bands’After a while, a data entry box was presented. PANCROMA TM retained theMaximum Common Extents coordinates. After a few minutes the subsets werecomputed. I selected ‘File’ | Save Subset Images’ | ‘Geotiff’ and gave thesubsetted files the root name ‘MCEA’. I clicked ‘Close Graphic Images andReset’ and then repeated the process for the second set of five files from group B(no gap):p074r091_7dt19991216_z59_10.tifp074r091_7dt19991216_z59_20.tifp074r091_7dt19991216_z59_30.tifp074r091_7dt19991216_z59_80.tifp074r091_7dt19991216_z59_40.tif1 Note: The panchromatic band for the gap set actually falls one pixel and 15m short of the bandfile MCE coordinates. The Five File subset utility will usually handle this off-by-one Landsatissue. However, other PANCROMA TM utilities may not. For example, if I had chosen the Six Filemethod, it would have been necessary to manually adjust the computed MCE coordinates downby 30m (not 15m!) from the computed values.374
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 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
Page 54 and 55:
The default method is checked. The
Page 56 and 57:
around 4000 rows by 4000 columns. I
Page 58 and 59:
the ‘Pan Sharpening Pre Processin
Page 60 and 61:
lowerLimit upperLimitThe following
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
Page 80 and 81:
The spectral match is indicated by
Page 82 and 83:
You must be careful when selecting
Page 84:
31. ELIN Local Optimization Algorit
Page 87 and 88:
IMPORTANT NOTE: Regions of high con
Page 89 and 90:
Add the green band and the red band
Page 91 and 92:
33. Pan Sharpen Batch File Processi
Page 93 and 94:
34. Working with SPOT® Data_______
Page 95 and 96:
the special image processing utilit
Page 97 and 98:
35. Working with ASTER Data________
Page 99 and 100:
36. Working with Formosat-2 Data___
Page 101 and 102:
100
Page 103 and 104:
ALI data is similar to Landsat with
Page 105 and 106:
38. Working with Digital Globe® Da
Page 107 and 108:
spectral transmission of the telesc
Page 109 and 110:
ow. Make sure you check this before
Page 111 and 112:
40. Working with Landsat Surface Re
Page 113 and 114:
41. Working with Landsat GEOCOVER D
Page 115 and 116:
foreground and background applicati
Page 117 and 118:
GEOCOVER can offer a very attractiv
Page 119 and 120:
After navigation and selecting your
Page 121 and 122:
Although not designed as a data sou
Page 123 and 124:
44. Working with USGS DOQQ and NAPP
Page 125 and 126:
46. Working with MODIS Surface Refl
Page 127 and 128:
47. Working with RapidEye Data_____
Page 129 and 130:
The Transfer method processes the f
Page 131 and 132:
using the PANCROMA TM ‘Preprocess
Page 133 and 134:
and band 5 (MIR) also be input. Thi
Page 135 and 136:
134
Page 137 and 138:
50. Automatic Image Registration of
Page 139 and 140:
The next two images are the registe
Page 141 and 142:
At the present time, PANCROMA TM ca
Page 143 and 144:
Since only a portion of EMR reachin
Page 145 and 146:
144
Page 147 and 148:
‘File’ | ‘Open’. After your
Page 149 and 150:
Haze reduction may be useful in con
Page 151 and 152:
Save your image using GeoTiff file
Page 153 and 154:
The correction is made according to
Page 155 and 156:
54. Image Processing Utilities - Gr
Page 157 and 158:
Input Channel Adjust Group Utility
Page 159 and 160:
55. Image Processing Utilities - SP
Page 161 and 162:
56. Image Processing Utilities - AS
Page 163 and 164:
57. Image Processing Utilities - Pa
Page 165 and 166:
Channel Level AdjustPANCROMA TM pro
Page 167 and 168:
ENHG Scale FactorThe ENHG slider ba
Page 169 and 170:
59. Image Preprocessing____________
Page 171 and 172:
select ‘File’ | ‘Open’ and
Page 173 and 174:
Analyzer. Doubling is done by first
Page 175 and 176:
high pixel brightness in one image
Page 177 and 178:
There are a few rules of thumb rega
Page 179 and 180:
You will need three control points
Page 181 and 182:
• image resampling• geometric m
Page 183 and 184:
ROWS groupsFirst row of dataSecond
Page 185 and 186:
Where QCAL are the calibrated image
Page 187 and 188:
When you select ‘OK’ the surfac
Page 189 and 190:
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
Page 205 and 206:
presented. Check the ‘Compute Lin
Page 207 and 208:
PANCROMA TM has a utility for regre
Page 209 and 210:
60. Image Post Processing__________
Page 211 and 212:
You can adjust weighting factors fo
Page 213 and 214:
Unsupervised ClassificationUnsuperv
Page 215 and 216:
214
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
Page 225 and 226:
The plot shows all of the computed
Page 227 and 228:
PANCROMA TM computed that the cover
Page 229 and 230:
Landsat Reflectance Point Spectrum
Page 231 and 232:
SPOT ® Point Spectrum Generator TM
Page 233 and 234:
will become disabled and the Color
Page 235 and 236:
When the ‘Zoom Disabled’ radio
Page 237 and 238:
Digital spectra are recorded for mi
Page 239 and 240:
The next step is to overlay the Lan
Page 241 and 242:
http://www.science.aster.ersdac.or.
Page 243 and 244:
Although the run was not successful
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
Page 253 and 254:
The second plot is shown below, dis
Page 255 and 256:
have to rationalize the file sizes.
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
Page 263 and 264:
Low numbers mean high discriminatio
Page 265 and 266:
Copyright USGSAlthough this data is
Page 267 and 268:
Note that the band 6 (TIR) track ba
Page 269 and 270:
higher (whiter) the grayscale pixel
Page 271 and 272:
The table with the manually input r
Page 273 and 274:
this does not correspond to physica
Page 275 and 276:
L71005068_06820030919_B10.TIFL71005
Page 277 and 278:
L71005068_06820040804_B50.TIFL71005
Page 279 and 280:
278
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
Page 287 and 288:
carefully. PANCROMA TM is able to p
Page 289 and 290:
Landsat imageImage magnitude spectr
Page 291 and 292:
Considerable smoothing has occurred
Page 293 and 294:
IMPORTANT NOTE: In reality, the con
Page 295 and 296:
The following is an example of an i
Page 297 and 298:
In order to deconvolve using fixed
Page 299 and 300:
63. Writing an Index File for an SR
Page 301 and 302:
It will be saved as a .dat file. A
Page 303 and 304:
64. Processing Huge Files and File
Page 305 and 306:
My area of interest for this image
Page 307 and 308:
306
Page 309 and 310:
Now we will start the pan sharpenin
Page 311 and 312:
66. Tutorial - Pan Sharpened Image
Page 313 and 314:
The next step will be to create an
Page 315 and 316:
The panchromatic image is the one i
Page 317 and 318:
And my result looked like this:As y
Page 319 and 320:
67. Tutorial - Pan Sharpening Full
Page 321 and 322:
68. Tutorial - Gap Filling using Tr
Page 323 and 324: You can use the 'Max Cloud' drop do
Page 325 and 326: 'Enter' and the Adjust file will be
Page 327 and 328: 326
Page 329 and 330: PANCROMA TM does the rest after tha
Page 331 and 332: 70. Tutorial - Gap Filling using Ha
Page 333 and 334: Another reason to keep the Search E
Page 335 and 336: Gap Filled Grayscale ImageGap Fille
Page 337 and 338: When you do so a batch processing d
Page 339 and 340: The images below show subsets taken
Page 341 and 342: 340
Page 343 and 344: It is also apparent that the graysc
Page 345 and 346: 73. Tutorial - Six File TERAS Batch
Page 347 and 348: common areas of both scenes. See th
Page 349 and 350: 348
Page 351 and 352: Use the checked image processing ut
Page 353 and 354: IssuesAlthough the gap filling proc
Page 355 and 356: 76. Tutorial - Pan Sharpening Lands
Page 357 and 358: 77. Tutorial - Image Processing Wor
Page 359 and 360: From Next PageSection 13Subset One
Page 361 and 362: I again selected ‘Close Graphic I
Page 363 and 364: I then selected ‘Pan Sharpening
Page 365 and 366: the vegetation tones are still norm
Page 367 and 368: Reduction’ and then ‘Apply Cont
Page 369 and 370: acquired during different seasons o
Page 371 and 372: This image is better than the Trans
Page 373: I also prepared an image using the
Page 377 and 378: 78. Tutorial - Improving Image Qual
Page 379 and 380: The following image is the RGB colo
Page 381 and 382: Press ‘OK’. The transformed gra
Page 383 and 384: However it is close enough to illus
Page 385 and 386: The second image is a straightforwa
Page 387 and 388: It is also possible to combine the
Page 389 and 390: 80. Pan Sharpened Image: Landsat Mo
Page 391 and 392: 82. Pan Sharpened Image: Landsat De
Page 397 and 398: 88. Pan Sharpened Image: EO-1 Mount
Page 399: Multiple Linear Regression, 205Mult
show all

User Manual - pancroma

Create successful ePaper yourself

Delete template?

Save as template?