Apr 15, 2024 · Experimental results show that the network has excellent performance on datasets specifically designed for desert features, with an average ...
Experimental results show that the network has excellent performance on datasets specifically designed for desert features, with an average intersection and ...
First, we used the circum-Tarim Basin area in Xinjiang, China, as the study area. We used manual recognition to outline the feature regions, to produce a ...
Apr 24, 2024 · Our main study area is the Tarim Basin region in Xinjiang,. China, as shown in Fig. 8, which is far from the ocean and deep inland and is not ...
Typical Ground Object Recognition in Desert Areas Based on ...
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Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China. Junfu Fan, Yu Gao, Zongwen Shi ...
Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China. IEEE Access 12: 55800-55813 ...
Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China. IEEE Access. 2024 | Journal ...
Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China. Request PDF. Open Access. IEEE ...
Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China · Environmental Science, Geography.
Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China · Environmental Science, Geography.