Superpixel-based active contour model for unsupervised change detection from satellite images-Reference-Cited by-同舟云学术

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Superpixel-based active contour model for unsupervised change detection from satellite images

Published:2016-07-28 Issue:18 Volume:37 Page:4276-4295
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hao Ming¹,Shi Wenzhong²³,Deng Kazhong¹,Feng Qiyan¹

Affiliation:

1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

2. Joint Research Laboratory on Spatial Information, The Hong Kong Polytechnic University, Hong Kong, China

3. Joint Research Laboratory on Spatial Information, Wuhan University, Wuhan, China

Funder

China Postdoctoral Science Foundation

Natural Science Foundation of Jiangsu Province

a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1210838

Reference28 articles.

1. Automatic urban building boundary extraction from high resolution aerial images using an innovative model of active contours

2. Level Set Hyperspectral Image Classification Using Best Band Analysis

3. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

4. Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods

5. A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images

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