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Comparison of pixelbased and objectoriented image classification approachesa case study in a coal fire area, Wuda, Inner Mongolia, China



Comparison of pixelbased and objectoriented image classification approachesa case study in a coal fire area, Wuda, Inner Mongolia, China



International Journal of Remote Sensing 27(18): 4039-4055



Pixel-based and object-oriented classifications were tested for land-cover mapping in a coal fire area. In pixel-based classification a supervised Maximum Likelihood Classification (MLC) algorithm was utilized; in object-oriented classification, a region-growing multi-resolution segmentation and a soft nearest neighbour classifier were used. The classification data was an ASTER image and the typical area extent of most land-cover classes was greater than the image pixels (15 m).

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Accession: 063446291

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DOI: 10.1080/01431160600702632


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