LIU Yongxue, LI Manchun, MAO Liang, XU Feifei, HUANG Shuo. Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis[J]. Chinese Geographical Science, 2006, 16(3): 282-288.
Citation: LIU Yongxue, LI Manchun, MAO Liang, XU Feifei, HUANG Shuo. Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis[J]. Chinese Geographical Science, 2006, 16(3): 282-288.

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

  • Received Date: 2006-05-30
  • Rev Recd Date: 2006-07-19
  • Publish Date: 2006-09-20
  • 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.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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

Abstract: 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.

LIU Yongxue, LI Manchun, MAO Liang, XU Feifei, HUANG Shuo. Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis[J]. Chinese Geographical Science, 2006, 16(3): 282-288.
Citation: LIU Yongxue, LI Manchun, MAO Liang, XU Feifei, HUANG Shuo. Review of Remotely Sensed Imagery Classification Patterns Based on Object-oriented Image Analysis[J]. Chinese Geographical Science, 2006, 16(3): 282-288.

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