Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis  

作　　者：LIU Yongxue LI Manchun MAO Liang XU Feifei HUANG Shuo 

机构地区：[1]School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China [2]Department of Geography, State University of New York at Buffalo, Buffalo, NY 14261, USA

出　　处：《Chinese Geographical Science》2006年第3期282-288,共7页中国地理科学（英文版）

基　　金：Under the auspices of the National Natural Science Foundation of China (No. 40301038), Talents Recruitment Foun-dation of Nanjing University

摘　　要：With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed informa- tion classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of method- ology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS in- formation classification pattern: 1) developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2) improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3) discussing the classification rule generation classifier based on the decision tree; 4) presenting evaluation methods for classification result by object-oriented classification pattern.With the wide use of high-resolution remotely sensed imagery, the object-oriented remotely sensed information classification pattern has been intensively studied. Starting with the definition of object-oriented remotely sensed information classification pattern and a literature review of related research progress, this paper sums up 4 developing phases of object-oriented classification pattern during the past 20 years. Then, we discuss the three aspects of methodology in detail, namely remotely sensed imagery segmentation, feature analysis and feature selection, and classification rule generation, through comparing them with remotely sensed information classification method based on per-pixel. At last, this paper presents several points that need to be paid attention to in the future studies on object-oriented RS information classification pattern： 1） developing robust and highly effective image segmentation algorithm for multi-spectral RS imagery; 2） improving the feature-set including edge, spatial-adjacent and temporal characteristics; 3） discussing the classification rule generation classifier based on the decision tree; 4） presenting evaluation methods for classification result by object-oriented classification pattern.

关 键 词：object-oriented image analysis remote sensing classification pattern 

分 类 号：TN911.73[电子电信—通信与信息系统]