Accurate building imaging from VHR imagery using generalized differential morphological attribute profile-Reference-Cited by-同舟云学术

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Accurate building imaging from VHR imagery using generalized differential morphological attribute profile

Published:2021-05-10 Issue: Volume: Page:1-18
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Cao Jiannong¹²,Li Junjun³,Chen Nan²,Feyissa Muleta Ebissa²

Affiliation:

1. Key Laboratory of Degraded and Unused Land Consolidation Engineering, the Ministry of Natural and Resources, Xi’an, China

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

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

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1920631

Reference31 articles.

1. Automatic Building Extraction from Image and LiDAR Data with Active Contour Segmentation

2. Classification of hyperspectral data from urban areas based on extended morphological profiles

3. Optimal segmentation of high spatial resolution images for the classification of buildings using random forests

4. Regularized methods for hyperspectral image classification

5. Mean shift: a robust approach toward feature space analysis

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. A hybrid image segmentation method for building extraction from high-resolution RGB images;ISPRS Journal of Photogrammetry and Remote Sensing;2022-10

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