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EVALUATING DEEP CONTEXTUAL DESCRIPTION OF SUPERPIXELS FOR DETECTION IN AERIAL IMAGES

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Author(s):
Tavares, Eduardo A. ; Torres, Ricardo da S. ; dos Santos, Jefersson A. ; IEEE
Total Authors: 4
Document type: Journal article
Source: 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019); v. N/A, p. 4-pg., 2019-01-01.
Abstract

In several applications, the use of pixel contextual information has led to significant effectiveness results in remote sensing image classification tasks. In this paper, we investigate the use of deep superpixel context representation for detection in aerial images. Experimental results considering the widely used ISPRS Postdam and Munich Vehicle datasets demonstrate that max pooling and standard deviation are the most promising pooling methods, while the concatenation of contextual features from different pooling approaches leads to an effective characterization of superpixel contextual information in remote sensing images. (AU)

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