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Proceedings Paper

Identification and classification of forest landscape pattern: fuzzy modeling and processing of remote sensing image
Author(s): Hanqin Tian
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Paper Abstract

Much information from remote sensing image is fuzzy and uncertain, which greatly influences the recognition and monitoring of landscape pattern. It is more difficult to identify the types of forest landscape, due to its relative homogeneity compared to larger scale landuse type. Moreover, the categories and process of forest landscape classification, in fact, are fuzzy. In this paper, I use a fuzzy modeling approach to deal with the fuzzy phenomena during the process of identification and classification of forest landscape image. This approach also incorporates the knowledge of vegetation ecology and expert experiences into classification model. Using supervised classification of pixel-by-pixel and group-by-group, I classified a tropical forest landscape. The results indicate that the fuzzy modeling approach can effectively deal with fuzzy information from remote sensing image.

Paper Details

Date Published: 31 August 1993
PDF: 7 pages
Proc. SPIE 1941, Ground Sensing, (31 August 1993); doi: 10.1117/12.154704
Show Author Affiliations
Hanqin Tian, SUNY/Syracuse (United States)


Published in SPIE Proceedings Vol. 1941:
Ground Sensing
Hatem N. Nasr, Editor(s)

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