In this paper, the two-branch encoder is presented, which is a multiscale structure that combines the features of ResNet-34 with a feature pyramid network.
Title: HA-Net: A Lake Water Body Extraction Network Based on Hybrid-Scale Attention and Transfer Learning. ; Language: English ; Authors: Wang, Zhaobin1 (AUTHOR)�...
In this paper, the two-branch encoder is presented, which is a multiscale structure that combines the features of ResNet-34 with a feature pyramid network.
HA-Net: A Lake Water Body Extraction Network Based on Hybrid-Scale Attention and Transfer Learning. Remote Sens. 2021, 13(20), 4121; https://doi.org/10.3390�...
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The structure of pixelshuffle convolution upsample block. HA-Net: A Lake Water Body Extraction Network Based on Hybrid-Scale Attention and Transfer Learning.
Experimental results demonstrate that the MSLWENet, which benefits from the convolutional neural network, is an excellent lake water body extraction network�...
In order to expand the receptive field, HA-Net [24] used global average pooling to aggregate the context information of lake water bodies; SR-SegNet [25]�...
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This paper presents a hierarchical attentive high-resolution network, abbreviated as WaterHRNet, for extracting water bodies from remote sensing imagery.
Mar 31, 2024 � Lake extraction aims to automatically locate the boundaries of a lake's location from remote sensing imagery, and it belongs to the semantic�...