Signal Processing for Remote Sensing - Chapter 3 docx

... to 0 0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 1.5 2 2.5 3 3.5 4 False positive (a) ROC 3- D plot for vehicle (c) ROC 3- D plot for artillery (e) ROC 3- D plot for jet (f) ROC 3- D plot for shuttle (d) ROC 3- D plot for rocket (b) ROC 3- D plot for missile True ... Collect ed for Trainin g and Testin g 34 3. 3.2 Radial Ba sis Functio n Neu ral Ne tworks 34 3. 4 Data Pr epr...

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... Numbers for the Seven Days Used in the Match-Up Data Set 6 Sep 2002 25 Jan 20 03 8 Jun 20 03 21 Aug 20 03 3 Sep 20 03 12 Oct 20 03 5 Dec 20 03 Cloud clearing 3. 7.0 3. 7.0 3. 7.0 3. 1.9 3. 1.9 3. 1.9 3. 7.0 Level-2 ... 3. 1.9 3. 1.9 3. 7.0 Level-2 3. 0.8 3. 0.8 3. 0.8 3. 0.8 3. 0.8 3. 0.8 3. 0.10 ß 2007 by Taylor & Francis Group, LLC. moti vates the nam e ‘‘PPC.’’...

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... Forests 63 3.2.1.1 Out-of-Bag Error 63 3.2.1.2 Variable Importance 63 3.2.1 .3 Proximities 63 3 .3 The Building Blocks of Random Forests 64 3. 3.1 Classification and Regression Tree 64 3. 3.2 Binary ... 14,517 3 Gravel 39 2 36 3 1,452 4 Trees 524 582 2 ,33 0 5 (Painted) metal sheets 265 2 23 890 6 Bare soil 532 914 3, 658 7 Bitumen 37 5 196 785 8 Self-blocking bricks 514 6 73...

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... beamforming for non-Gaussian signals, IEE Proc F, 140(6), 36 2, 19 93. 13. Comon, P., Independent component analysis, a new concept? Signal Processing, 36 (3) , 287, 1994. 14. De Lathauwer, L., Signal ... Model 75 5 .3 Matrix Processing 76 5 .3. 1 SVD 76 5 .3. 1.1 Definition 76 5 .3. 1.2 Subspace Method 76 5 .3. 2 SVD and ICA 77 5 .3. 2.1 Motivation 77 5 .3. 2.2 Independent Comp...

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... LLC. Segment 2 Box 1 Box 3 Box 2 Segment 1 Segment 3 0 3 2.5 1.5 1 0.5 2 5 10152025 35 30 40 45 Trace number Time (sec) FIGURE 6.12 Factor analysis of Scheme no. 3. 30 00 32 00 34 00 CDP (m) 3 2.5 Time (sec) 2 1.5 1 0.5 30 00 ... muted before FA. In this manner, for every segment, all the data points available are fully utilized. 30 00 3 2 1 0.5 1.5 2.5 32 00 34 00 Time (...

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... cedure can be form ulated as an inve rse computa- tion minimizing the following objective function: kF PE xk 2 (9:8) −0.0 23 −0.022 −0.010 −0.0 13 0.020 0.0670.122 −0.009 0. 033 0.0 63 −0.016 0.008 0.051 0.001 −0.015 −0.204 −0 .36 5 −0. 234 0.151 0.0 73 0 0 1.000 −0.606 −0.072 (b)(a) (d) ... and Remote Sensing, 30 (5), 933 –940, 1992. 5. S.N. Madsen, H.A. Zebker, and J. Martin, Topo...

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... index. ISBN- 13: 97 8-1 -4 20 0-6 66 4-7 ISBN-10: 1-4 20 0-6 66 4-1 1. Remote sensing Data processing. 2. Image processing. I. Chen, C.H. (Chi-hau), 1 93 7- II. Title. G70.4.I44 2008 621 .36 ’78 dc22 2007 030 188 Visit ... study-site location: 38 839 .6 0 N, 1 238 35.8 0 W. C.H. Chen/Image Processing for Remote Sensing 66641_C001 Final Proof page 12 3. 9.200...

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... 9.25 20.40 19.45 31 .07 40.88 40.77 2 3. 61 12.15 11. 63 15.58 33 .79 33 .95 4 2.48 8.77 8 .36 14.70 28.78 28.74 5 2.72 5.72 5. 93 9.12 22.71 22.44 8 3. 06 5 .39 5. 43 10.61 20.50 20.55 9 3. 30 4.82 4.96 11.00 ... 54.45 1 9.25 20.40 31 .07 40.88 2 3. 61 12.15 15.58 33 .79 4 2.48 8.77 14.70 28.78 5 2.72 5.72 9.12 22.71 8 3. 06 5 .39 10.61 20.50 9 3. 30 4.82 11.00 18.96 10 3. 79...

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... Size FDL-OSS 37 91 3. 75% 38 12 17.91% 76 03 6.21% 23 Â 23 FDL-ARS 2695 2.66% 35 28 16.58% 62 23 5.08% 7 Â 7 FFL-ARS 2181 2.15% 33 76 15.86% 5557 4.54% 5 Â 5 C.H. Chen/Image Processing for Remote Sensing ... Sens., 40, 8 53 870, 2002. C.H. Chen/Image Processing for Remote Sensing 66641_C005 Final Proof page 132 3. 9.2007 2:06pm Compositor Name: JGanesan 132 Image P...

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... JGanesan Two ICA Approaches for SAR Image Enhancement 177 © 2008 by Taylor & Francis Group, LLC th-l-hh th-p-hh th-c-hh th-l-hv th-p-hv th-c-hv th-l-vv th-p-vv th-c-vv covariance matrix and ... 0.12 73 0.1191 0.1141 Channel 2 0.1009 0.0526 0.0852 0.1 133 0.0770 Channel 3 0.1446 0.0 938 0.1042 0.1277 0.1016 Channel 4 0.1259 0. 037 1 0.0 531 0.09 83 0.0515 Channel 5 0.12 63 0.1010 0....

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