Multimodal hyperspectral remote sensing: an overview and perspective
Multimodal hyperspectral remote sensing: an overview and perspective作者机构：School of Electronics and Information EngineeringHarbin Institute of Technology Heilongjiang Province Key Laboratory of Space-Air-Ground Integrated Intelligent Remote Sensing First Institute of OceangraphyMinistry of Natural Resources GIPSA-LabGrenoble Institute of Technology School of Engineering and Information TechnologyUniversity of New South Wales
出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期：2021年第64卷第2期
页 面：115-138页
核心收录：
学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 081002[工学-信号与信息处理] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by National Natural Science Foundation of Key International Cooperation of China (Grant No. 61720106002) National Key R&D Program of China (Grant No. 2017YFC1405100)
主 题：hyperspectral image processing multitemporal hyperspectral imaging hyperspectral video imaging hyperspectral stereo imaging multimodal hyperspectral remote sensing imaging
摘 要：Since the advent of hyperspectral remote sensing in the 1980 s, it has made important achievements in aerospace and aviation field and been applied in many fields. Conventional hyperspectral imaging spectrometer extends the number of spectral bands to dozens or hundreds, and provides spatial distribution of the reflected solar radiation from the scene of observation at the same time. Nowadays, with the fast development of new technology in the fields of information and photoelectricity sensing, and the popularity of unmanned aerial vehicle, hyperspectral remote sensing imaging presents the new trends of multimodality and acquires integration information while keeping high or very-high spectral resolution, especially, high temporal even real time sensing and stereo sensing. Therefore, three important modes of hyperspectral imaging come into existence:(1) multitemporal hyperspectral imaging, which refers to the observation of same region at different dates;(2) hyperspectral video imaging, which captures full frame spectral images in real-time;(3) hyperspectral stereo imaging, which obtains the full dimension information(including 2D image, elevation, and spectra) of observed scene. Along this perspective, firstly, the current researches on hyperspectral remote sensing and image processing are briefly reviewed, and then, comprehensive descriptions of the aforementioned three main hyperspectral imaging modes are carried out from the following four aspects: fundamental principle of new mode of hyperspectral imaging, corresponding scientific data acquisition, data processing and application, and potential challenges in data representation, feature learning and interpretation. Through the analysis of development trend of hyperspectral imaging and current research situation, we hope to provide a direction for future research on multimodal hyperspectral remote sensing.
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