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

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-drive...

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Bibliographic Details
Published in:Applied sciences 2019-05, Vol.9 (10), p.2110
Main Authors: Gu, Yating, Wang, Yantian, Li, Yansheng
Format: Article
Language:English
Subjects:
Accuracy
Artificial intelligence
Classification
Deep learning
Image classification
Image detection
Image management
Image retrieval
Learning algorithms
Machine learning
Pattern recognition
Remote sensing
remote sensing image object detection
remote sensing image scene classification
remote sensing image scene retrieval
remote sensing image scene understanding (RSISU)
Scene analysis
Semantics
Sensors
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9102110