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29 December 2008 Extraction of land-use information within rural residential area from high-resolution RS images
Zeying Lan, Yanfang Liu, Dan Chen
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854R (2008) https://doi.org/10.1117/12.816112
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Extracting land-use information within rural residential area is one of the major applications in remote sensing today. In this paper, a new method, which is auxiliary land-use knowledge method, is presented for this requirement. With the abundant geographic knowledge in the thematic map, we first propose a simple and effective method to extract rural residential out-border from RS image by overlapping analysis, and take the result as the basic data for further interpretation. Secondly, the object-oriented approach is employed for further classification, whose basic cell isn't a single pixel any more, but rather an image object from image segmentation. During the process, land-use knowledge is also taken as auxiliary information to establish class system and class hierarchy, select feature presentation of image objects, and examine classification result. Finally, a high-resolution RS image of Hubei Province is taken as testing data to verify the above method. The experiment results are satisfying: the detailed land-use information is extracted and categories with similar spectrum feature are divided effectively. It is obvious that this method offers a good solution to extract land-use information within rural residential area.
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Zeying Lan, Yanfang Liu, and Dan Chen "Extraction of land-use information within rural residential area from high-resolution RS images", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854R (29 December 2008); https://doi.org/10.1117/12.816112
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KEYWORDS
Image segmentation
Vegetation
Remote sensing
Image classification
Image processing
Cements
Image analysis
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