Cooperation of multi-task segmentation and a graph convolutional network for object vector boundary extraction in remote-sensing imagery
Author:
Affiliation:
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China
Funder
National Key R&D Program of China
Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2240518
Reference46 articles.
1. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
2. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks
3. A Metric for Polygon Comparison and Building Extraction Evaluation
4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
5. Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
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