Häftad, Kinesiska, 2025
380 kr
Skickas inom 5-8 vardagar
Gang Xiao – författare
Visar alla böcker från författaren Gang Xiao. Handla med fri frakt och snabb leverans.
7 produkter
7 produkter
- Del 1137 - Lecture Notes in Mathematics
Surfaces fibrees en courbes de genre deux
Häftad, Franska, 1985223 kr
Skickas inom 10-15 vardagar
- E-bokPDF, Franska, 2006
190 kr
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- Nyhet
Häftad, Tyska, 2026347 kr
Skickas inom 5-8 vardagar
- Inbunden, Engelska, 2020
1 683 kr
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This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion. - E-bokEngelska, 2020
2 105 kr
Läs direkt efter köp
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion. - Häftad, Engelska, 2021
1 683 kr
Skickas inom 10-15 vardagar
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
