探索通过时空融合实现陆地表面温度融合的最佳序列："先检索后融合 "还是 "先融合后检索"？

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2024-08-22 DOI:10.1080/2150704x.2024.2391090

Yumin Li, Meiling Gao, Zhenyu Tan, Bing Wang, Zhenhong Li

引用次数: 0

摘要

由于卫星传感器能力的固有限制，平衡当前遥感观测的时间和空间分辨率仍然是一项挑战。时空融合技术是一种新型的遥感技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exploring the optimal sequences for fusing land surface temperature via spatiotemporal fusion: ‘retrieval-then-fusion’ or ‘fusion-then-retrieval’?

Due to the limitations inherent in satellite sensor capabilities, it remains a challenge to balance the temporal and spatial resolutions of current remote sensing observations. Spatiotemporal fusio...

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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.