Oct 12, 2021 · In this paper, a high-resolution net (HR-Net) model is used to classify surface natural resources by Gaofen-1 (GF-1) satellite images and digital elevation ...
This article introduces training ResNet to automatically classify the lineament structure of Mars surface (DEM image), and then use CLAHE to pre-process the ...
CLASSIFICATION OF SURFACE NATURAL RESOURCES BASED ON HR-NET AND DEM ; Session: High Resolution Image Analysis and Classification ; Track: Data Analysis Methods ( ...
Deep fusion of GF-2 and GF-3 data for land cover classification
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We propose a dual-stream deep high-resolution network (DDHRNet) to deeply integrate SAR and optical data at the feature level in every branch.
Like the NHDPlus V2, the NHDPlus HR includes data for a nationally seamless network of stream reaches, elevation- based catchment areas, flow surfaces, and ...
This research provides a novel integration of field‐based and remotely‐sensed estimates of ET required to properly quantify hillslope‐scale water balances.
This study proposed a method for extracting information on coastal aquacultural ponds from remote sensing images based on the U2-Net deep learning model. First, ...
A U-Net model is developed to classify surface natural resources using GF-1 satellite images by semantic segmentation, which can be applied in practice to ...
Missing: HR- DEM.
DeepLabV3+ and HRNet models have good transfer learning abilities for classifying marsh vegetation. Transfer learning ability is better in images with ...
Missing: DEM. | Show results with:DEM.
Rigorous evaluations on the Bijie dataset and the Sichuan and surrounding area dataset demonstrate that EMR-HRNet outperforms other advanced semantic ...