Abstract: Remote sensing image retrieval (RSIR) may be a fundamental task in remote sensing. Most content-based image
retrieval (CBRSIR) approaches take an easy distance as similarity criteria. A retrieval method supported weighted distance and
basic features of Convolutional Neural Network (CNN) is proposed during this letter. the strategy contains two stages. First, in
offline stage, the pretrained CNN will be fine-tuned by some labelled images from our target data set, then accustomed extract
CNN features, and labelled the pictures within the retrieval data set. Second, in online stage, we extract features of the query
image by using fine-tuned CNN model and calculate the load of every image class and apply them to calculate the space between
the query image and also the retrieved images. Experiments and methods are conducted on two Remote Sensing Image Retrieval
data sets
