气候变化领域集成服务门户(CCPortal): MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images

CCPortal

DOI	10.1080/17538947.2022.2159552
	MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images
	Tian, Zhihui; Guo, Xiaoyu; He, Xiaohui; Li, Panle; Cheng, Xijie; Zhou, Guangsheng
发表日期	2023
ISSN	1753-8947
EISSN	1753-8955
起始页码	1
结束页码	30
卷号	16 期号:1
英文摘要	Qinghai-Tibet Plateau lakes are important carriers of water resources in the 'Asian's Water Tower', and it is of great significance to grasp the spatial distribution of plateau lakes for the climate, ecological environment, and regional water cycle. However, the differences in spatial-spectral characteristics of various types of plateau lakes, and the complex background information of plateau both influence the extraction effect of lakes. Therefore, it is a great challenge to completely and effectively extract plateau lakes. In this study, we proposed a multiscale contextual information aggregation network, termed MSCANet, to automatically extract Plateau lake regions. It consists of three main components: a multiscale lake feature encoder, a feature decoder, and a Multicore Pyramid Pooling Module (MPPM). The multiscale lake feature encoder suppressed noise interference to capture multiscale spatial-spectral information from heterogeneous scenes. The MPPM module aggregated the contextual information of various lakes globally. We applied the MSCANet to the lake extraction of the Qinghai-Tibet Plateau based on Google data; additionally, comparative experiments showed that the MSCANet proposed had obvious improvement in lake detection accuracy and morphological integrity. Finally, we transferred the pre-trained optimal model to the Landsat-8 and Sentinel-2A dataset to verify the generalization of the MSCANet.
关键词	Remote sensing imagery The Qinghai-Tibet Plateau lake extraction deep learning multiscale feature context information aggregation
英文关键词	FULLY-CONVOLUTIONAL NETWORK; WATER INDEX NDWI; CLASSIFICATION
WOS研究方向	Geography, Physical ; Remote Sensing
WOS记录号	WOS:000911480800001
来源期刊	INTERNATIONAL JOURNAL OF DIGITAL EARTH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/283367
作者单位	Zhengzhou University; Zhengzhou University; China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS); Zhengzhou University; Zhengzhou University; Zhengzhou University; China Meteorological Administration; Chinese Academy of Meteorological Sciences (CAMS)
推荐引用方式 GB/T 7714	Tian, Zhihui,Guo, Xiaoyu,He, Xiaohui,et al. MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images[J],2023,16(1).
APA	Tian, Zhihui,Guo, Xiaoyu,He, Xiaohui,Li, Panle,Cheng, Xijie,&Zhou, Guangsheng.(2023).MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images.INTERNATIONAL JOURNAL OF DIGITAL EARTH,16(1).
MLA	Tian, Zhihui,et al."MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images".INTERNATIONAL JOURNAL OF DIGITAL EARTH 16.1(2023).