Identification and classification of forest landscape pattern: fuzzy modeling and processing of remote sensing image

Hanqin Tian

doi:10.1117/12.154704

31 August 1993 Identification and classification of forest landscape pattern: fuzzy modeling and processing of remote sensing image

Hanqin Tian

Author Affiliations +

Proceedings Volume 1941, Ground Sensing; (1993) https://doi.org/10.1117/12.154704
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

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Hanqin Tian "Identification and classification of forest landscape pattern: fuzzy modeling and processing of remote sensing image", Proc. SPIE 1941, Ground Sensing, (31 August 1993); https://doi.org/10.1117/12.154704

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KEYWORDS

Fuzzy logic

Remote sensing

Image classification

Image processing

Mathematical modeling

Vegetation

Classification systems

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