The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Progress and Challenges in Intelligent Remote Sensing Satellite Systems
Open accessAbstract
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.
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Cites
Cloudscout: a deep neural network for on-board cloud detection on hyperspectral images
Giuffrida, G., Diana, L., de Gioia, F., Benelli, G., Meoni, G., Donati, M., & Fanucci, L. (2020) · Remote Sensing · doi:10.3390/rs12142205 · Cited by 176
Cited by
Materia, S., García, L. P., van Straaten, C., O, S., Mamalakis, A., Cavicchia, L., Coumou, D., de Luca, P., Kretschmer, M., & Donat, M. (2024) · WIREs Climate Change · doi:10.1002/wcc.914 · Cited by 130
An optical remote sensing image encryption algorithm for sensitive targets in sea-related scenes
Peng, Y., Xu, W., Parastesh, F., Li, Z., Li, C., & Wang, C. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-024-09905-0 · Cited by 17
Jasmine, J. J., Raja, S. E., Muniraj, R., & Ulaganathan, M. (2025) · Earth Science Informatics · doi:10.1007/s12145-025-01749-5 · Cited by 3
Metadata
- Authors
- Zhang, B., Wu, Y., Zhao, B., Chanussot, J., Hong, D., Yao, J., & Gao, L.
- Venue
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Published
- 2022
- Volume
- 15
- Pages
- 1814-1822
- ISSN
- 1939-1404 (ISSN-L)
- 2151-1535
- OpenAlex
- W4210692941
- Cited by
- 437
- References
- 1
- FWCI
- 42.54
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhang, B., Wu, Y., Zhao, B., Chanussot, J., Hong, D., Yao, J., & Gao, L. (2022). Progress and Challenges in Intelligent Remote Sensing Satellite Systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2022.3148139
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