A Fast Rooftop Extraction Deep Learning Method based on PP-LiteSeg for UAV Imaginary
Author:
Affiliation:
1. Guangdong Energy Group Science and Technology Research Institute Co., Ltd.,China,510000
2. Guangdong Yuedian Nanshui Power Generation Co., Ltd.,Shaoguan,China,512700
3. Wuhan University,Wuhan,China,430072
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10491598/10491601/10491624.pdf?arnumber=10491624
Reference14 articles.
1. Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic Segmentation with Deep Learning
2. Improved Mask R-CNN for Rural Building Roof Type Recognition from UAV High-Resolution Images: A Case Study in Hunan Province, China
3. A Comparative Study of Deep Learning Approaches to Rooftop Detection in Aerial Images
4. Building Extraction from Very High Resolution Aerial Imagery Using Joint Attention Deep Neural Network
5. CNN Algorithm for Roof Detection and Material Classification in Satellite Images
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