A Novel Pixel Orientation Estimation Based Line Segment Detection Framework, and Its Applications to SAR Images

Author:

Liu Chenguang1,Liu Cuiling1ORCID,Wang Chisheng1ORCID,Zhu Wu2,Li Qingquan1ORCID

Affiliation:

1. Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, the Guangdong Key Laboratory of Urban Informatics, and the Shenzhen Key Laboratory of Spatial Smart Sensing and Services, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China

2. School of Geology Engineering and Geomatics, Chang’an University, Xi’an, China

Funder

Chang’an University

National Key Research and Development Program of China

National Natural Science Foundation of China

Shenzhen Scientific Research and Development Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Indoor point cloud semantic segmentation based on direction perception and hole sampling;The Photogrammetric Record;2024-03-06

2. A hybrid framework for efficient and accurate orientation estimation based on single and multiple orientation vector fields;Expert Systems with Applications;2023-11

3. Progressive Scale-Aware Network for Remote Sensing Image Change Captioning;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. O-Unet: An Octree-Based Convolutional Neural Network for 3-D Radar Point Clouds Reconstruction;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

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