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Research Article

A novel unsupervised forest change detection method based on the integration of a multiresolution singular value decomposition fusion and an edge-aware Markov Random Field algorithm

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Pages 9376-9404 | Received 18 Jun 2021, Accepted 13 Oct 2021, Published online: 27 Nov 2021

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Ehsan Khankeshizadeh, Ali Mohammadzadeh, Armin Moghimi & Amin Mohsenifar. (2022) FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net. Earth Science Informatics 15:4, pages 2335-2347.
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Meisam Amani, Mohammad Kakooei, Arsalan Ghorbanian, Rebecca Warren, Sahel Mahdavi, Brian Brisco, Armin Moghimi, Laura Bourgeau-Chavez, Souleymane Toure, Ambika Paudel, Ablajan Sulaiman & Richard Post. (2022) Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine. Remote Sensing 14:15, pages 3778.
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Ziqi Li, Qiqi Zhu, Yihui Shao, Xi Guo & Qingfeng Guan. (2022) Uksd-Net: an Unsupervised Knowledge-Guided Symmetric Deep Network for Forest Burned Areas Detection. Uksd-Net: an Unsupervised Knowledge-Guided Symmetric Deep Network for Forest Burned Areas Detection.
Vahid Sadeghi & Hossein Etemadfard. (2022) Optimal cluster number determination of FCM for unsupervised change detection in remote sensing images. Earth Science Informatics 15:2, pages 1045-1057.
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Armin Moghimi, Ali Mohammadzadeh, Turgay Celik, Brian Brisco & Meisam Amani. (2022) Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies. Remote Sensing 14:8, pages 1777.
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Hong Fang, Peijun Du & Xin Wang. (2022) A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas. International Journal of Applied Earth Observation and Geoinformation 108, pages 102749.
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