29 December 2008 A new classification algorithm for high spatial resolution remote sensing data
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Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850H (2008) https://doi.org/10.1117/12.815912
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
In this paper, we propose a new classification algorithm for high spatial resolution remote sensing data, which makes use of both the spatial information and spectral information of the remote sensing data, and is also suitable for the specific data format that high special resolution remote sensing data has. Because the classification is based on the remote sensing raw data, image fusion process of the raw data can be avoided, which will lower the computational cost. Moreover, the classification algorithm framework we propose can be extended for other segmentation algorithms.
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Jiying Yuan, Jiying Yuan, Guojin He, Guojin He, } "A new classification algorithm for high spatial resolution remote sensing data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850H (29 December 2008); doi: 10.1117/12.815912; https://doi.org/10.1117/12.815912
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