Cloud is one of common noises in MODIS remote sensing image. Because of cloud interference, much important
information covered with cloud can't be obtained. In this paper, an effective method is proposed to detect and remove
thin clouds with single MODIS image. The proposed method involves two processing-thin cloud detection and thin
cloud removal. As for thin cloud detection, through analyzing the cloud spectral characters in MODIS thirty-six bands,
we can draw the conclusion that the spectral reflections of ground and cloud are different in various MODIS band.
Hence, the cloud and ground area can be separately identified based on MODIS multispectral analysis. Then, the region
label algorithm is used to label thin clouds from many candidate objects. After cloud detection processing, thin cloud
removal method is used to process each cloud region. Comparing with traditional methods, the proposed method can
realize thin cloud detection and removal with single remote sensing image. Additionally, the cloud removal processing
mainly aims to the cloud label region rather than the whole image, so it can improve the processing efficiency.
Experiment results show the method can effectively remove thin cloud from MODIS image.