Image and Signal Processing Methods

Visualizing bag-of-words for high-resolution remote sensing image classification

[+] Author Affiliations
Haosong Yue, Weihai Chen, Xingming Wu, Jianhua Wang

Beihang University, School of Automation Science and Electrical Engineering, No. 37 Xueyuan Road, Beijing 100191, China

J. Appl. Remote Sens. 10(1), 015022 (Mar 18, 2016). doi:10.1117/1.JRS.10.015022
History: Received November 7, 2015; Accepted February 29, 2016
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Abstract.  Classification of high-resolution remote sensing images is a challenging problem. Bag-of-words (BOW) based classification algorithms have obtained good performances in recent years. However, how the procedures of the BOW framework affect the classification result is still an open question. We present three visualization algorithms to reconstruct images from BOW. After visualization, we can see what the computer actually “sees” in an image feature. We also analyze the procedures of the BOW framework, namely, descriptor extraction and histogram generation, in detail. It is found that the descriptors should not be blamed for wrong classification. The histogram generation strategy should be improved to be robust with image transformation. Then some suggestions are posed for future improvement of BOW-based remote sensing image classification algorithms.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Haosong Yue ; Weihai Chen ; Xingming Wu and Jianhua Wang
"Visualizing bag-of-words for high-resolution remote sensing image classification", J. Appl. Remote Sens. 10(1), 015022 (Mar 18, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.015022


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