Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images

Geomatics Natural Hazards and Risk, Год журнала: 2024, Номер 15(1)

Опубликована: Сен. 2, 2024

Recent advancements in deep convolutional neural networks (DCNNs) have significantly improved landslides identification using remote sensing images. Pixel-wise semantic segmentation (PSS) and object-oriented detection (OOD) are two dominant approaches, wherein PSS better as providing detailed delineation of landslide shapes. However, limited by the difficulty labelling training data low speed compared to OOD. In this paper, we propose an efficient DCNN-based method, so-called Dynahead-YOLO-Otsu, perform a based on OOD results. This is achieved locating potential regions advance ODD-based Dynahead-YOLO model, which enhances capacity for detecting with variable proportions complex background The preliminary results then processed Otsu binarization algorithm cluster pixels belonging from images segmentation. To validate performance, tested proposed method open-source dataset containing 950 We three up-to-date DCNN-and PSS- namely DeepLab v3+, PSPnet, Unet. Results demonstrate that achieves comparable Recall (71.80%) F1 scores (75.80%), average improvement 22% 16% Precision IoU, respectively.

Язык: Английский

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A novel unified elastoplasticity-μ(I) phase transition model for granular flows from solid-like to fluid-like states and its application

Engineering Geology, Год журнала: 2025, Номер unknown, С. 108054 - 108054

Опубликована: Апрель 1, 2025

Язык: Английский

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Exploring debris-flow dynamics under basal friction: Insights from an enhanced 3D-SPH coulomb–viscoplastic sliding boundary

Computers and Geotechnics, Год журнала: 2025, Номер 185, С. 107317 - 107317

Опубликована: Май 5, 2025

Язык: Английский

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Centroid aggregation-based boundary detection algorithm in 3D-SPH form for simulating debris-flow dynamics considering boundary frictional effect

Engineering Geology, Год журнала: 2024, Номер 341, С. 107721 - 107721

Опубликована: Сен. 6, 2024

Язык: Английский

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Two-layer multi-state SPH modelling of momentum growth and its feedback in viscous debris flow on wet bed sediment

Engineering Geology, Год журнала: 2024, Номер 343, С. 107804 - 107804

Опубликована: Ноя. 16, 2024

Язык: Английский

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Modelling the temporal-varied nonlinear velocity profile of debris flow using a stratification aggregation algorithm in 3D-HBP-SPH framework

Journal of Mountain Science, Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

Язык: Английский

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