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Geocarto International Volume 32, 2017 - Issue 12
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Original Articles

Parameter evaluation and optimization for multi-resolution segmentation in object-based shadow detection using very high resolution imagery

Hui LuoState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
,
Deren LiState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China
&
Chong LiuKey Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, China
Pages 1307-1332 | Received 10 Oct 2015, Accepted 27 Jul 2016, Published online: 24 Aug 2016

Citations (4)

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Read on this site (1)

T. Kavzoglu & H. Tonbul. (2018) An experimental comparison of multi-resolution segmentation, SLIC and K-means clustering for object-based classification of VHR imagery. International Journal of Remote Sensing 39:18, pages 6020-6036.
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Articles from other publishers (3)

Taşkın KAVZOĞLU, Hasan TONBUL, İsmail ÇÖLKESEN & Umut Gunes SEFERCİK. (2021) The Use of Object-Based Image Analysis for Monitoring 2021 Marine Mucilage Bloom in the Sea of Marmara. International Journal of Environment and Geoinformatics 8:4, pages 529-536.
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Hui Luo, Chong Liu, Chen Wu & Xian Guo. (2018) Urban Change Detection Based on Dempster–Shafer Theory for Multitemporal Very High-Resolution Imagery. Remote Sensing 10:7, pages 980.
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Nurollah Tatar, Mohammad Saadatseresht, Hossein Arefi & Ahmad Hadavand. (2018) A robust object-based shadow detection method for cloud-free high resolution satellite images over urban areas and water bodies. Advances in Space Research 61:11, pages 2787-2800.
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