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Paper Abstract and Keywords
Presentation 2006-05-26 14:20
On the accuracy of the empirical model for estimating forest biomass from K-distributed SAR images
Haipeng Wang, Kazuo Ouchi (Kochi Univ. of Tech.), Manabu Watanabe, Masanobu Shimada (JAXA) SANE2006-57
Abstract (in Japanese) (See Japanese page) 
(in English) In the previous study, an empirical model was developed to estimate forest biomass from the order parameter of K-distributed Pi-SAR images of the Tomakomai forests, in Hokkaido, Japan. The method is based on the empirical relation between the Tomakomai forests and the order parameter of K-distribution of cross-polarization SAR data. To evaluate the accuracy of this algorithm, the ground truth data were collected in Aug. and Sept., 2005. Comparison is made between the biomass collected in 2005 and the biomass estimated by the empirical regression curve derived from the ground-truth data collected in 2002 and 2003. The result shows the measurement accuracy of 85%. It can be concluded that, at least for the Hokkaido forests, this algorithm is a good means of estimating the forest biomass.
Keyword (in Japanese) (See Japanese page) 
(in English) SAR / texture analysis / K-distribution / / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 77, SANE2006-57, pp. 1-6, May 2006.
Paper # SANE2006-57 
Date of Issue 2006-05-19 (SANE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SANE  
Conference Date 2006-05-26 - 2006-05-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Kochi Univ. of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, etc 
Paper Information
Registration To SANE 
Conference Code 2006-05-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On the accuracy of the empirical model for estimating forest biomass from K-distributed SAR images 
Sub Title (in English)  
Keyword(1) SAR  
Keyword(2) texture analysis  
Keyword(3) K-distribution  
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1st Author's Name Haipeng Wang  
1st Author's Affiliation Kochi University of Technology (Kochi Univ. of Tech.)
2nd Author's Name Kazuo Ouchi  
2nd Author's Affiliation Kochi University of Technology (Kochi Univ. of Tech.)
3rd Author's Name Manabu Watanabe  
3rd Author's Affiliation EORC/JAXA (JAXA)
4th Author's Name Masanobu Shimada  
4th Author's Affiliation EORC/JAXA (JAXA)
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Speaker Author-1 
Date Time 2006-05-26 14:20:00 
Presentation Time 25 minutes 
Registration for SANE 
Paper # SANE2006-57 
Volume (vol) vol.106 
Number (no) no.77 
Page pp.1-6 
#Pages 6 
Date of Issue 2006-05-19 (SANE) 

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