Hyper-Parameter Optimization-based multi-source fusion for remote sensing inversion of non-photosensitive water quality parameters

IF 3 3区 地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY International Journal of Remote Sensing Pub Date : 2024-09-08 DOI:10.1080/01431161.2024.2388878
Yuhao Yuan, Zhiping Lin, Xinhao Jiang, Zhongmou Fan
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Abstract

The constraints of spatiotemporal heterogeneity and spatial resolution constitute two crucial challenges in the establishment of remote sensing inversion models. Spatiotemporal heterogeneity gives ...
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来源期刊
International Journal of Remote Sensing
International Journal of Remote Sensing 工程技术-成像科学与照相技术
CiteScore
7.00
自引率
5.90%
发文量
219
审稿时长
4.8 months
期刊介绍: The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).
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