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About Deep Learning in Remote Sensing
This document reviews over 200 publications on the application of deep learning techniques to remote sensing image analysis. It conducts a meta-analysis of these studies to analyze trends in study targets, models used, image resolutions, study areas, and classification accuracies achieved. It then provides a detailed review of how deep learning has been applied for tasks like image fusion, registration, scene classification, object detection, land use/land cover classification, segmentation, and object-based image analysis. Finally, it discusses the current state-of-the-art, challenges, and directions for future research.
Detailed Information
| Author: | ['Lois Anne Leal'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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