Advanced machine learning and deep learning approaches for remote sensing
- Author
- Gwanggil Jeon
- Publication Year
- 2023
- Publisher
- MDPI
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
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Provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Keywords: Computer vision / Remote sensing / Altimeter / Atmospheric turbulence / Carbon sequestration / Geography / Image processing / Image reconstruction / Photovoltaic power generation / Principal components analysis
