Otsu-BRSG: An Effective Algorithm for River Bank Line Detection and Monitoring in the Challenging Terrains of Kaziranga National Park

Neogi, Srutiparna; Aich, Geetanjali; Dey, Aniruddha; Maitra, Sanjit; Bandyopadhyay, Oishila; Ghosh, Kuntal

doi:10.1007/s12524-024-01843-z

J Indian Soc Remote Sens

2024

DOI: 10.1007/s12524-024-01843-z

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Otsu-BRSG: An Effective Algorithm for River Bank Line Detection and Monitoring in the Challenging Terrains of Kaziranga National Park

Srutiparna Neogi,

Geetanjali Aich,

Aniruddha Dey

et al.

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Remote sensing identification of shallow landslide based on improved otsu algorithm and multi feature threshold

Ren,

Wang,

Chen

et al. 2024

Front. Earth Sci.

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In low-resolution remote sensing images under complex lighting conditions, there is a similarity in spectral characteristics between non-landslide areas and landslide bodies, which increases the probability of misjudgment in the identification process of shallow landslide bodies. In order to further improve the accuracy of landslide identification, a shallow landslide remote sensing identification method based on an improved Otsu algorithm and multi-feature threshold is proposed for the temporary treatment project of the Yangjunba disaster site in Leshan City. Using Retinex theory, remote sensing images are enhanced with local linear models and guided filtering; then, multi-feature scales and sliding window calculations of opening and closing transformations identify potential landslide areas, which are finally segmented using the Otsu algorithm. Through experimental verification, the method proposed in this article can clearly segment the target object and background after binary segmentation of remote sensing images. The recognition rate of shallow landslide bodies is not less than 95%, indicating that the method proposed in this article is relatively accurate in identifying shallow landslide bodies in the research area and has good application effects.

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Remote sensing identification of shallow landslide based on improved otsu algorithm and multi feature threshold

Ren,

Wang,

Chen

et al. 2024

Front. Earth Sci.

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Otsu-BRSG: An Effective Algorithm for River Bank Line Detection and Monitoring in the Challenging Terrains of Kaziranga National Park

Cited by 1 publication

References 49 publications

Remote sensing identification of shallow landslide based on improved otsu algorithm and multi feature threshold

Remote sensing identification of shallow landslide based on improved otsu algorithm and multi feature threshold

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