A Method for Preprocessing Image Data of Staring Satellite

Geostationary orbit (GEO) satellite remote sensing is becoming more and more important in the field of remote sensing because of its wide scan, real-time continuous observation and rapid operational response, and it has great application potential in ocean monitoring as well. In this paper, a pre-processing method of GEO satellite image data is proposed to realize sea-land segmentation and cloud masking of GEO satellite image. Taking GF-4 satellite image as the object of study, distinguish the sea surface, cloud layer and land in the image with the spectral characteristics of different reflectance firstly; then detecte the ocean area by water body index; the binary image is processed by block operation according to the difference of density distribution of ship, cloud and land, and the regions of interest are extracted at last.