Building Detection Using Very High Resolution SAR Images With Multi-Direction Based on Weighted-Morphological Indexes-Reference-Cited by-同舟云学术

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Building Detection Using Very High Resolution SAR Images With Multi-Direction Based on Weighted-Morphological Indexes

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Machine Vision and Image Processing (MVIP)
language:
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Author:

Amjadipour Fateme¹,Ghassemian Hassan¹,Imani Maryam¹

Affiliation:

1. Tarbiat Modares University,Image Processing and Information Analysis Lab,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9738652/9738548/09738776.pdf?arnumber=9738776

Reference19 articles.

1. Building Detection in Very High Resolution SAR Images Via Sparse Representation Over Learned Dictionaries

2. DBSCAN-based point cloud extraction for Tomographic synthetic aperture radar (TomoSAR) three-dimensional (3D) building reconstruction

3. An Approach to Unsupervised Detection of Fully and Partially Destroyed Buildings in Multitemporal VHR SAR Images

4. Eigenvalue Statistical Components-Based PU-Learning for PolSAR Built-Up Areas Extraction and Cross-Domain Analysis

5. CG-Net: Conditional GIS-Aware Network for Individual Building Segmentation in VHR SAR Images;sun;IEEE Trans Geosci Remote Sens,2021

Cited by 1 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. DMU-Net: A Dual-Stream Multi-Scale U-Net Network Using Multi-Dimensional Spatial Information for Urban Building Extraction;Sensors;2023-02-10

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