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《Geomatics & Spatial Information Technology》 2013-09
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Optimal Scale Selection Research of High-Resolution Remote Sensing Images of Rare Earth Mine in Ganzhou

YUAN Xiu-hua;LUO Wei;WANG Cong-ying;Jiangxi University of Science and Technology;  
Sincehigh resolution remote sensing image is widely used in the work of mining classification,the technologies of object-oriented multi-scale segmentation become a hot topic. The selection of the optimal scale is the key to such technology. In order to obtain the optimal segmentation scale for high resolution sensing image,high-resolution remote sensing images of Ganzhou rare earth mines are selected as source data and RMAS( Ratio of Mean Difference to Neighbors( ABS) to Standard Deviation) method to obtain the optimal scale in the paper. Segmentation results are evaluated by segmentation quality value,and the study proves the feasibility of RMAS method.
【Fund】: 国家自然科学基金项目(41101322);; 江西省自然科学基金项目(20114BAB213022)资助
【CateGory Index】: P237
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