Cumulus Clouds Under Varying Lighting Conditions.

<div><p>Automatic recognition of ground-based clouds is crucial for meteorology and especially for the operational safety of Unmanned Aerial Vehicles (UAVs), but it is challenged by variable cloud shapes, complex lighting, and background interference. This paper introduces ALGA-DenseNet,...

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Bibliographic Details
Main Author:	Binbin Tu (1499677) (author)
Other Authors:	Haoyuan Zhou (22530459) (author), Xiaowei Han (5219507) (author), Jiawei Bao (17737830) (author), Linfei Zhao (4099297) (author), Nanmu Hui (22530462) (author)
Published:	2025
Subjects:	Evolutionary Biology Plant Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified unmanned aerial vehicles tianjin normal university model &# 8217 incorporates adaptive local enhancing feature selection enhance image robustness depthwise separable convolutions scale feature extraction scale attention mechanism paper introduces alga improved densenet model variable cloud shapes complex cloud features based cloud dataset scale extraction cloud textures complex lighting based clouds merge features head attention global attention color features vision transformer uavs ), reducing parameters operational safety integrates mixed improve learning enhances representation computational complexity class variations class differences background interference
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Cumulus Clouds Under Varying Lighting Conditions.

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