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A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection

Authors :
Yating Gu
Yantian Wang
Yansheng Li
Source :
Applied Sciences, Vol 9, Iss 10, p 2110 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

As a fundamental and important task in remote sensing, remote sensing image scene understanding (RSISU) has attracted tremendous research interest in recent years. RSISU includes the following sub-tasks: remote sensing image scene classification, remote sensing image scene retrieval, and scene-driven remote sensing image object detection. Although these sub-tasks have different goals, they share some communal hints. Hence, this paper tries to discuss them as a whole. Similar to other domains (e.g., speech recognition and natural image recognition), deep learning has also become the state-of-the-art technique in RSISU. To facilitate the sustainable progress of RSISU, this paper presents a comprehensive review of deep-learning-based RSISU methods, and points out some future research directions and potential applications of RSISU.

Details

Language :
English
ISSN :
20763417
Volume :
9
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.33ecdac01e4d2385e1882ee16c2054
Document Type :
article
Full Text :
https://doi.org/10.3390/app9102110