Image Processing for Remote Sensing - Chapter 3 ppsx

... 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 ... 72. 43 Overall accuracy 62. 43 60 .37 C.H. Chen /Image Processing for Remote Sensing 66641_C0 03 Final Proof page 72 3. 9.2007 2:03pm Compositor Name: JGanesan 72 Image...

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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...

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... multi-spectral and panchromatic images. C.H. Chen /Image Processing for Remote Sensing 66641_C012 Final Proof page 284 3. 9.2007 2:10pm Compositor Name: JGanesan 284 Image Processing for Remote Sensing © ... SEASAT image. Right: Image after noise reduction. C.H. Chen /Image Processing for Remote Sensing 66641_C012 Final Proof page 282 3. 9.2007 2:10pm Composit...

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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 ... DWT-based technique. C.H. Chen /Image Processing for Remote Sensing 66641_C005 Final Proof page 130 3. 9.2007 2:06pm Compositor Name: JGanesan 130 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 ... Analysis, Springer-Verlag, Berlin, 2000, pp. 93 121. C.H. Chen /Image Processing for Remote Sensing 66641_C008 Final Proof page 188 3. 9.2007 2:10pm Compositor Name: JGanesan 188 Ima...

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... the sea subimage of Figure 9 .3. C.H. Chen /Image Processing for Remote Sensing 66641_C009 Final Proof page 216 3. 9.2007 2:12pm Compositor Name: JGanesan 216 Image Processing for Remote Sensing © ... corresponding to Figure 9 .3. C.H. Chen /Image Processing for Remote Sensing 66641_C009 Final Proof page 218 3. 9.2007 2:12pm Compositor Name: JGanesan 218 Image...

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... Letters, 17, 136 1– 137 8, 1996. C.H. Chen /Image Processing for Remote Sensing 66641_C011 Final Proof page 268 3. 9.2007 2:11pm Compositor Name: JGanesan 268 Image Processing for Remote Sensing © 2008 ... classifiers in decision-level fusion. C.H. Chen /Image Processing for Remote Sensing 66641_C011 Final Proof page 256 3. 9.2007 2:11pm Compositor Name: JGanesan...

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... 15.1 Sample data 1. C.H. Chen /Image Processing for Remote Sensing 66641_C015 Final Proof page 34 4 3. 9.2007 2:07pm Compositor Name: JGanesan 34 4 Image Processing for Remote Sensing © 2008 by Taylor ... Method 34 2 15 .3 Simulation 34 8 15 .3. 1 Data Set and Condition for Simulations 34 8 15 .3. 2 Simulation Results 34 9 15 .3. 3 Reduction of SVM Learning Cost...

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... 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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