In this paper, we propose a novel deep learning model named DCA-Net for the automatic detection of landslides. This model adopts an asymmetric encoder-decoder ...
In this paper, we propose a novel deep learning model named DCA-Net for the automatic detection of landslides. This model adopts an asymmetric encoder- decoder ...
Article "Landslide Detection of High-Resolution Satellite Images using Asymmetric Dual-Channel Network" Detailed information of the J-GLOBAL is an ...
LANDSLIDE DETECTION OF HIGH-RESOLUTION SATELLITE IMAGES USING ASYMMETRIC DUAL-CHANNEL NETWORK. Yaohui Liu, Wenzhuo Zhang, Xiaoxian Chen, Mingyang Yu, Yingjun ...
Apr 25, 2024 · Landslide Detection of High-Resolution Satellite Images using Asymmetric Dual-Channel Network. IGARSS 2021: 4091-4094; 2020. [j1]. view.
This study focuses on detecting landslides from high-resolution optical satellite images using CNN-based methods, providing opportunities for recognizing ...
In our study, we address the critical tasks of landslide detection and area extraction in remote sensing images using advanced deep learning techniques. For ...
An Efficient U-Net Model for Improved Landslide Detection from Satellite ...
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... Landslide detection of high-resolution satellite images using asymmetric dual-channel network. IEEE Int Geosci Remote Sens Symp IGARSS. https://doi.org ...
Mar 27, 2024 · In this study, ensemble learning methods have been suggested as a means to develop the detection of landslide areas from landslide satellite images.
For landslide detection, we propose an enhanced dual-channel model that leverages EfficientNetB7 for feature extraction and incorporates spatial attention ...