期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 12, 期 12, 页码 2403-2407出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2015.2478966
关键词
Bag-of-visual-words (BoVW); correlaton; pixel homogeneity; scene classification; spatial correlation
类别
资金
- Major State Basic Research Development Program of China (973 Program) [2012CB719906]
- National Natural Science Foundation of China [41371372, 41021061, 41023001]
Existing methods that incorporate spatial information into a traditional Bag-of-Visual-Words (BoVW) model consider the spatial arrangement of an image but ignore pixel homogeneity in land-use remote sensing images. In this letter, we present an improved correlaton model to jointly integrate appearance, spatial correlation, and pixel homogeneity using multiscale segmentation. The effectiveness of the proposed method was tested on a ground truth image data set of 21 land-use classes manually extracted from high-resolution remote sensing images. The experimental results demonstrate that our improved correlaton model can promote classification and outperforms existing methods such as the traditional BoVW model, spatial pyramid matching model, and the traditional correlaton model.
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