With the rapid development of remote sensing technology and variety of earth observation satellites have been
successfully launched, the volume of image datasets is growing exponentially in many application areas. The Contentbased
image retrieval (CBRSIR), as an efficient means for management and utilization of the information in image
database from the viewpoint of comprehension of image content, is applied on the remote sensing images retrieval.
However, one kind of features always can’t express the image content exactly. So, a multi-feature retrieval model based
on three color features and four texture features is proposed in this paper. The experiment results show that the multifeatures
model can improve the retrieval results than other model just by each singular feature.