Semi-automatic road extraction from high resolution satellite images by template matching using Kullback–Leibler divergence as a similarity measure-Reference-Cited by-同舟云学术

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Semi-automatic road extraction from high resolution satellite images by template matching using Kullback–Leibler divergence as a similarity measure

Published:2022-09-13 Issue:4 Volume:13 Page:316-336
ISSN:1947-9832
Container-title:International Journal of Image and Data Fusion
language:en
Short-container-title:International Journal of Image and Data Fusion

Author:

Lin Xiangguo¹,Xie Wenhan¹,Zhang Libo²,Sang Huiyong¹,Shen Jing²,Cui Shiyong³

Affiliation:

1. Chinese Academy of Surveying and Mapping, Beijing, Peking, China

2. National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, Peking, China

3. Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, Germany

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/19479832.2022.2121767

Reference46 articles.

1. Road extraction from aerial images using a region competition algorithm

2. Road junction extraction in high-resolution SAR images via morphological detection and shape identification

3. Road Extraction From High-Resolution Satellite Images Based on Multiple Descriptors

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