Front Matter: Volume 7285

Proceedings of SPIE, Deren Li, Jianya Gong, Huayi Wu
2008 International Conference on Earth Observation Data Processing and Analysis (ICEODPA)  
The papers included in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. The papers published in these proceedings reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from
more » ... liance thereon. Please use the following format to cite material from this book: Publication of record for individual papers is online in the SPIE Digital Library. Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print and on CD-ROM. Papers are published as they are submitted and meet publication criteria. A unique, consistent, permanent citation identifier (CID) number is assigned to each article at the time of the first publication. Utilization of CIDs allows articles to be fully citable as soon they are published online, and connects the same identifier to all online, print, and electronic versions of the publication. SPIE uses a six-digit CID article numbering system in which: The first four digits correspond to the SPIE volume number. The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID number appears on each page of the manuscript. The complete citation is used on the first page, and an abbreviated version on subsequent pages. Numbers in the index correspond to the last two digits of the six-digit CID number. Downloaded From: on 7/19/2018 Terms of Use: Contents Part One xxiii Conference Committees xxv Potential of hyperspectral remote sensing on estimating foliar chemistry and predicting the quality of tea (Camellia sinensis) [7285-238] M. A self-adaptive approach of retrieving leaf area index based on the imaging geometry model of HJ-1A multispectral camera [7285-254] Q. SESSION 2 DATA ACQUISITION AND PROCESSING: CLASSIFICATION 7285 0C Research on classification of hyperspectral remote sensing image based on improved NPA in SVM [7285-61] A study about credible cloud classification model based on FY-2C data [7285-76] L. Liu, X. Dong, Z. Zhou, Wuhan Univ. (China) 7285 0E Classification of multispectral images by using Lagrangian support vector machines [7285-171] H. Zhu, Yunnan Univ. (China); X. Yang, Florida State Univ. (United States) 7285 0F Shape-adaptive neighborhood classification method for remote sensing image [7285-182] H. Zhang, Y. Li, South China Normal Univ. (China) 7285 0G Bayesian multi-nets classifier in the interpretation of remote sensing images [7285-189] J. Tao, N. Shu, Z. Shen, Wuhan Univ. (China) 7285 0H A new classification algorithm for high spatial resolution remote sensing data [7285-197] J. Yuan, Ctr. for Earth Observation and Digital Earth (China) and Graduate Univ. of Chinese Academy of Sciences (China); G. He, Ctr. for Earth Observation and Digital Earth (China) 7285 0I A radial basis function neural network based on artificial immune systems for remote sensing image classification [7285-228] Q. Yan, Chinese Academy of Surveying and Mapping (China); Y. Zhong, Wuhan Univ. (China) iv Downloaded From: on 7/19/2018 Terms of Use: SESSION 9 GEOSPATIAL ANALYSIS AND SERVICE: VISUALIZATION 3J A generalization-oriented partition approach of 3D building group models Q. Wang,
doi:10.1117/12.819778 fatcat:k35qwzyplvc33ebfaacevwduha