Scene classification using multi-scale deeply described visual words

doi:10.1080/01431161.2016.1207266

CORC > 北京大学 > 地球与空间科学学院

	Scene classification using multi-scale deeply described visual words
	Zhao, Wenzhi ; Du, Shihong
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2016
关键词	CONVOLUTIONAL NEURAL-NETWORKS REMOTE-SENSING IMAGERY URBAN AREAS FEATURES MODEL
DOI	10.1080/01431161.2016.1207266
英文摘要	This article presents a deep learning-based Multi-scale Bag-of-Visual Words (MBVW) representation for scene classification of high-resolution aerial imagery. Specifically, the convolutional neural network (CNN) is introduced to learn and characterize the complex local spatial patterns at different scales. Then, the learnt deep features are exploited in a novel way to generate visual words. Moreover, the MBVW representation is constructed using the statistics of the visual word co-occurrences at different scales, which are derived from a training data set. We apply our technique to the challenging aerial scene data set: the University of California (UC) Merced data set consisting of 21 different aerial scene categories with sub-metre resolution. The experimental results show that the statistics of deeply described visual words can characterize the scene well and improve classification accuracy. It demonstrates that the proposed method is highly effective in the scene classification of high-resolution remote-sensing imagery.; Weng Hongwu Scientific Research Foundation of Peking University, China [WHW201505]; SCI(E); EI; ARTICLE; dshgis@hotmail.com; 17; 4119-4131; 37
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/492484]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Zhao, Wenzhi,Du, Shihong. Scene classification using multi-scale deeply described visual words[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2016.
APA	Zhao, Wenzhi,&Du, Shihong.(2016).Scene classification using multi-scale deeply described visual words.INTERNATIONAL JOURNAL OF REMOTE SENSING.
MLA	Zhao, Wenzhi,et al."Scene classification using multi-scale deeply described visual words".INTERNATIONAL JOURNAL OF REMOTE SENSING (2016).