Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network
文献类型：期刊论文
| 作者 | Zhan, Yongjie1,2; Wang, Jian2; Shi, Jianping3; Cheng, Guangliang4 ; Yao, Lele2; Sun, Weidong1
|
| 刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
 |
| 出版日期 | 2017-10-01 |
| 卷号 | 14期号:10页码:1785-1789 |
| 关键词 | Cloud And Snow Detection Fully Convolutional Network Multiscale Prediction |
| DOI | 10.1109/LGRS.2017.2735801 |
| 文献子类 | Article |
| 英文摘要 | Cloud and snow detection has significant remote sensing applications, while they share similar low-level features due to their consistent color distributions and similar local texture patterns. Thus, accurately distinguishing cloud from snow in pixel level from satellite images is always a challenging task with traditional approaches. To solve this shortcoming, in this letter, we proposed a deep learning system to classify cloud and snow with fully convolutional neural networks in pixel level. Specifically, a specially designed fully convolutional network was introduced to learn deep patterns for cloud and snow detection from the multispectrum satellite images. Then, a multiscale prediction strategy was introduced to integrate the low-level spatial information and high-level semantic information simultaneously. Finally, a new and challenging cloud and snow data set was labeled manually to train and further evaluate the proposed method. Extensive experiments demonstrate that the proposed deep model outperforms the state-of-the-art methods greatly both in quantitative and qualitative performances. |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000413961200028 |
| 资助机构 | State Key Laboratory of Space-Ground Integrated Information Technology of China(2014 CXJJ-YG 04) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20755]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 作者单位 | 1.Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China 2.Space Star Technol Co Ltd, State Key Lab Space Ground Integrated Informat Te, Beijing 100086, Peoples R China 3.SenseTime Grp Ltd, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhan, Yongjie,Wang, Jian,Shi, Jianping,et al. Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(10):1785-1789. |
| APA | Zhan, Yongjie,Wang, Jian,Shi, Jianping,Cheng, Guangliang,Yao, Lele,&Sun, Weidong.(2017).Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(10),1785-1789. |
| MLA | Zhan, Yongjie,et al."Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.10(2017):1785-1789. |
入库方式： OAI收割
来源：自动化研究所
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