퍼지 논리 융합과 반복적 Relaxation Labeling을 이용한 다중 센서 원격탐사 화상 분류 = Classification of Multi-sensor Remote Sensing Images using Fuzzy Logic Fusion and Iterative Relaxation Labeling

다국어 초록 (Multilingual Abstract)

This paper presents a fuzzy relaxation labeling approach incorporated to the fuzzy logic fusion scheme for the classification of multi-sensor remote sensing images. The fuzzy logic fusion and iterative relaxation labeling techniques are adopted to effectively integrate multi-sensor remote sensing images and to incorporate spatial neighboring information into spectral information for contextual classification, respectively. Especially, the iterative relaxation labeling approach can provide additional information that depicts spatial distributions of pixels updated by spatial information. Experimental results for supervised land-cover classification using optical and multi-frequency/polarization images indicate that the use of multi-sensor images and spatial information can improve the classification accuracy.

참고문헌 (Reference)

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