Closed Water Body Extraction from Low-solution and Low SNR Meteorological Satellite Imagery Based on MSER
Water body extraction from remote sensing imagery is significant for map registration and surveying,especially for lowresolution and low Signal Noise Ratio (SNR) meteorological satellite imagery.In single-channel imageries,short-wave infrared (SWIR) imagery presents a high contrast between water bodies and other ground objects.Otherwise,SWIR imagery is greatly disturbed by stripes and missing scan lines.We mainly use the method of moment matching in the process of restoration and MSER in the process of water body extraction.Experiments on meteorological satellite imageries show that the proposed methods achieve promising results.A high stability for extracting water bodies is obtained by the Hu moment invariants.
water body extraction meteorological satellite SWIR imagery moment matching MSER
Yunhui Yi Cheng Wang Jonathan Li
RSSI Lab, Department of Computer Science Xiamen University 422 Siming Road South Xiamen, China RSSI Lab, Department of Computer Science Xiamen University 422 Siming Road South Xiamen, China;GeoST
国际会议
厦门
英文
1-4
2012-12-16（万方平台首次上网日期，不代表论文的发表时间）