A review of building detection from very high resolution optical remote sensing images-Reference-Cited by-同舟云学术

A review of building detection from very high resolution optical remote sensing images

Published:2022-08-05 Issue:1 Volume:59 Page:1199-1225
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Li Jiayi¹,Huang Xin¹²,Tu Lilin¹,Zhang Tao³,Wang Leiguang⁴

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, PR China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, PR China

3. Department of survey and design, Tianjin Survey and Design Institute Group Co., Ltd, Tianjin, China

4. Forestry College of Southwest Forestry University, Institutes of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming, China

Funder

the Special Fund of Hubei Luojia Laboratory

the National Natural Science Foundation of China

the Foundation for Innovative Research Groups of the Natural Science Foundation of Hubei Province

the Wuhan 2022 Shuguang Project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2101727

Reference143 articles.

1. Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++

2. Dense prediction of label noise for learning building extraction from aerial drone imagery

3. EDLines: A real-time line segment detector with a false detection control

4. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks

5. Height estimation from single aerial images using a deep convolutional encoder-decoder network

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