Abstract
Due to advances in remote sensing satellite imaging and image processing technologies and their wide applications, intelligent remote sensing satellites are facing an opportunity for rapid development. The key technologies, standards, and laws of intelligent remote sensing satellites are also experiencing a series of new challenges. Novel concepts and key technologies in the intelligent hyperspectral remote sensing satellite system have been proposed since 2011. The aim of these intelligent remote sensing satellites is to provide real-time, accurate, and personalized remote sensing information services. This article reviews the current developments in new-generation intelligent remote sensing satellite systems, with a focus on intelligent remote sensing satellite platforms, imaging payloads, onboard processing systems, and other key technological chains. The technological breakthroughs and current defects of intelligence-oriented designs are also analyzed. Intelligent remote sensing satellites collect personalized remote sensing data and information, with real-time data features and information interaction between remote sensing satellites or between satellites and the ground. Such developments will expand the use of remote sensing applications beyond government departments and industrial users to a massive number of individual users. However, this extension faces challenges regarding privacy protection, societal values, and laws regarding the sharing and distribution of data and information.
Highlights
INTRODUCTIONIntelligent processing technologies and computing power for datasets are rapidly developing
The rapid development of key technologies, such as the remote sensing satellite platform, imaging payload, and onboard processing systems required for the construction of the intelligent remote sensing satellite system, is transforming the sphere of remote satellites from data sensing from earth observations to the real-time perception of targets
Space-based information service network construction is being accelerated by moving beyond the conventional remote sensing information application model
Summary
Intelligent processing technologies and computing power for datasets are rapidly developing These changes represent the arrival of a new era of remotely sensed big data [1, 2]. Conventional satellite remote sensing data processing and application modes cannot adapt to the current demands for high time efficiency, personalized remote sensing data collection, and information product output. New key technology concepts for intelligent hyperspectral remote sensing satellite systems have been proposed and discussed since 2011 [3], with satellite imaging mode adaptive observation and onboard real-time data processing and distribution emerging as the two most significant technologies for intelligent hyperspectral remote sensing satellites (Fig.). Remote sensing satellite development has been established using launched remote sensing satellites with intelligent components, including the TacSat-3 (USA, 2009), TET-1 (Germany, 2012), new technology demonstration satellite G (China, 2020), and a high-resolution multimode satellite (China, 2020).
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