Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images
Author:
Affiliation:
1. School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, China
2. Jiangsu Geologic Surveying and Mapping Institute, Nanjing, China
Funder
National Key R&D Program of China
Xuzhou Science and Technology Key R&D Program
Jiangsu Province Land and Resources Science and Technology Plan
Jiangsu Normal University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09760108.pdf?arnumber=9760108
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1. Change Detection Based on Existing Vector Polygons and Up-to-Date Images Using an Attention-Based Multi-Scale ConvTransformer Network;Remote Sensing;2024-05-14
2. Fusion of UNet and ResNet decisions for change detection using low and high spectral resolution images;Signal, Image and Video Processing;2024-04-23
3. Land Cover Change Detection Based on Vector Polygons and Deep Learning With High-Resolution Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Enhancing Change Detection in Spectral Images: Integration of UNet and ResNet Classifiers;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06
5. A New Approach to Monitoring Urban Built-Up Areas in Kunming and Yuxi from 2012 to 2021: Promoting Healthy Urban Development and Efficient Governance;International Journal of Environmental Research and Public Health;2022-09-26
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