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Scene classification has been studied to allow us to semantically interpret high spatial resolution (HSR) remote sensing imagery. The bag-of-visual-words (BOVW) model is an effective method for HSR image scene classification. However, the traditional BOVW model only captures the local patterns of images by utilizing local features. In this letter, a local–global feature bag-of-visual-words scene classifier...
Scene classification has been proved to be an effective method for high spatial resolution (HSR) image semantic interpretation. Considering the complex structure and abundant information, three issues should be discussed for HSR imagery: 1) Which kind of features should be combined to comprehensively describe the HSR imagery? 2) How to efficiently fuse the different types of features? 3) Which scene...
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