TY - GEN
T1 - Building Detection based on Rectangle Approximation and Region Growing
AU - Yin, Xueqi
AU - Hao, Xiaolong
AU - Gao, Tong
AU - Chen, Hao
AU - Chen, Wen
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/26
Y1 - 2020/9/26
N2 - To study a new framework for building detection from optical remote sensing image(RSI) that based on rectangle approximation and region growing. According to the geometric structures of buildings, a right angle detection method based on voting strategy is investigated to get building candidates. In order to accurately estimate the shape of buildings with non-convex properties, an algorithm is employed to reduce false positives by extracting outer corners of buildings from the detected right angles. Combining with similar spectral features of surfaces, a segmentation algorithm based on region growing is proposed to get the complete top surfaces of buildings. Using several RSIs of Florida and Nebraska areas in WorldView-3 image data, experimental results show that the proposed method achieves the precision ratio of 89.44% and recall ratio of 90.36%.
AB - To study a new framework for building detection from optical remote sensing image(RSI) that based on rectangle approximation and region growing. According to the geometric structures of buildings, a right angle detection method based on voting strategy is investigated to get building candidates. In order to accurately estimate the shape of buildings with non-convex properties, an algorithm is employed to reduce false positives by extracting outer corners of buildings from the detected right angles. Combining with similar spectral features of surfaces, a segmentation algorithm based on region growing is proposed to get the complete top surfaces of buildings. Using several RSIs of Florida and Nebraska areas in WorldView-3 image data, experimental results show that the proposed method achieves the precision ratio of 89.44% and recall ratio of 90.36%.
KW - Building detection
KW - Fuzzy right angle extraction
KW - Rectangle approximation
KW - Region growing
KW - Straight line segment extraction
UR - https://www.scopus.com/pages/publications/85101976914
U2 - 10.1109/IGARSS39084.2020.9324655
DO - 10.1109/IGARSS39084.2020.9324655
M3 - 会议稿件
AN - SCOPUS:85101976914
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 1643
EP - 1646
BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Y2 - 26 September 2020 through 2 October 2020
ER -