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- W1927651452 abstract "We focus on the issue of cloud detection in wireless sensor networks (WSN) and propose a novel detection algorithm named adaptive graph cut (AGC) to tackle this issue. We first automatically label some pixels as “cloud” or “clear sky” with high confidence. Then, those labelled pixels serve as hard constraint seeds for the following graph cut algorithm. In addition, a novel transfer learning algorithm is proposed to transfer knowledge among sensor nodes, such that cloud images captured from different sensor nodes can adapt to different weather conditions. The experimental results show that the proposed algorithm not only achieves better results than other state-of-the-art cloud detection algorithms in WSN, but also achieves comparable results compared with the interactive segmentation algorithm." @default.
- W1927651452 created "2016-06-24" @default.
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- W1927651452 date "2015-01-01" @default.
- W1927651452 modified "2023-10-17" @default.
- W1927651452 title "Adaptive Graph Cut Based Cloud Detection in Wireless Sensor Networks" @default.
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- W1927651452 doi "https://doi.org/10.1155/2015/947169" @default.
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