研究论文
Automated segmentation of textured dust storms on mars remote sensing images using an encoder-decoder type convolutional neural network
Kazunori Ogohara, Ryusei Gichu
Kyoto Sangyo University University of Shiga Prefecture
来源Computers & Geosciences
年份2022
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学术脉络
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物理Planetary Science and Exploration
Space Exploration and Technology
参考文献 22
Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning
被引 301Xinghua Li, Huanfeng Shen, Liangpei Zhang · IEEE Transactions on Geoscience and Remote Sensing · 2014
An overview of the 1985-2006 Mars Orbiter Camera science investigation
被引 147Malin · Mars · 2010
Numerical simulations of the regional characteristics of dust transport on Mars
被引 5Kazunori Ogohara, Takehiko Satomura · Advances in Space Research · 2011
此处列出前 3 条
引用本文 26
Light4Mars: A lightweight transformer model for semantic segmentation on unstructured environment like Mars
被引 56Yonggang Xiong, Xueming Xiao, Meibao Yao · ISPRS Journal of Photogrammetry and Remote Sensing · 2024
MarsFormer: Martian Rock Semantic Segmentation With Transformer
被引 54Yonggang Xiong, Xueming Xiao, Meibao Yao · IEEE Transactions on Geoscience and Remote Sensing · 2023
HRNet- and PSPNet-based multiband semantic segmentation of remote sensing images
被引 41Yan Sun, Wenxi Zheng · Neural Computing and Applications · 2022
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