Automatic building detection from very high-resolution images using multiscale morphological attribute profiles-Reference-Cited by-同舟云学术

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Automatic building detection from very high-resolution images using multiscale morphological attribute profiles

Published:2020-05-27 Issue:7 Volume:11 Page:640-649
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Li Junjun¹,Cao Jiannong²³,Feyissa Muleta Ebissa²,Yang Xianqiong¹

Affiliation:

1. School of Earth Science and Resources, Chang’an University, Xi’an, China

2. School of Geological Engineering and Surveying, Chang’an University, Xi’an, China

3. Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Natural Resource of China, Xi’an, China

Funder

Open Fund for Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural Resource

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1750729

Reference20 articles.

1. A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery

2. A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images

3. Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

4. Automatic building footprint extraction from high-resolution satellite image using mathematical morphology

5. A Combined Corner and Edge Detector

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3. Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset;Expert Systems with Applications;2022-09

4. Comparative research on different backbone architectures of DeepLabV3+ for building segmentation;Journal of Applied Remote Sensing;2022-05-10

5. Effect of Label Noise on Multi-Class Semantic Segmentation: A Case Study on Bangladesh Marine Region;Applied Artificial Intelligence;2022-03-27

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