An Attentive Hough Transform Module for Building Extraction From High Resolution Aerial Imagery-Reference-Cited by-同舟云学术

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An Attentive Hough Transform Module for Building Extraction From High Resolution Aerial Imagery

Published:2024 Issue: Volume:12 Page:11520-11529
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yahia Berrouiguet Souad¹^ORCID,Zigh Ehlem²,Djebouri Mohammed¹

Affiliation:

1. Department of Electronics, Faculty of Electrical Engineering, University Djillali Liabes of Sidi Bel Abbes, Sidi Bel Abbès, Algeria

2. Department of Electronics, Faculty of Electrical Engineering, Laboratoire de Codage et de la Sécurité de l’information, University of Science and Technology of Oran—Mohamed Boudiaf, Oran, Algeria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10401935.pdf?arnumber=10401935

Reference48 articles.

1. Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake

2. NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification

3. Long-term changes in 3D urban form in four Spanish cities

4. Double Branch Parallel Network for Segmentation of Buildings and Waters in Remote Sensing Images

5. Editorial for special issue: ‘Remote sensing based building extraction;Awrangjeb;Remote Sens.,2020

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