Jocelyn Chanussot – författare
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14 produkter
Advances in Machine Learning and Image Analysis for GeoAI
Av Saurabh Prasad, Jocelyn Chanussot m. fl.
Häftad, 2024
1624 kr
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Advances in Machine Learning and Image Analysis for GeoAI presents recent advances in applications and algorithms that are at the intersection of Geospatial imaging and Artificial Intelligence (GeoAI). The book covers algorithmic advances in geospatial image analysis, sensor fusion across …
Advances in Machine Learning and Image Analysis for GeoAI
Av Jun Li, Jocelyn Chanussot m. fl.
E-bok, 2024
2379 kr
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Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, …
Explainable AI for Earth Observation Data Analysis
Applications, Opportunities, and Challenges
Av Arun PV, Jocelyn Chanussot m. fl.
Inbunden, 2025
1838 kr
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The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis …
Explainable AI for Earth Observation Data Analysis
Applications, Opportunities, and Challenges
Av Alok Porwal, D Nagesh Kumar m. fl.
E-bok, 2025
1000 kr
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The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis …
Explainable AI for Earth Observation Data Analysis
Applications, Opportunities, and Challenges
Av Alok Porwal, D Nagesh Kumar m. fl.
E-bok, 2025
1022 kr
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The role of artificial intelligence is crucial in the domain of Earth Observation (EO) data analysis. Deep learning-based approaches have improved accuracy, but they have affected the reliability and transparency of EO data. It is critical to improve the explainability of EO data analysis …
Multivariate Image Processing
Av Jocelyn Chanussot, Christophe Collet m. fl.
Inbunden, 2009
2259 kr
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Multivariate imagery is now a very common tool in numerous applications, ranging from satellite remote sensing and astrophysics to biomedical imagery, monitoring of the environment or industrial inspection. Multivariate must be understood in th emost general way: color and multispectral imaging, …
Hyperspectral Image Analysis
Advances in Machine Learning and Signal Processing
Av Saurabh Prasad, Jocelyn Chanussot
Inbunden, 2020
1688 kr
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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance …
Hyperspectral Image Analysis
Advances in Machine Learning and Signal Processing
Av Jocelyn Chanussot, Saurabh Prasad
E-bok, 2020
2065 kr
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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance …
Hyperspectral Image Analysis
Advances in Machine Learning and Signal Processing
Av Saurabh Prasad, Jocelyn Chanussot
Häftad, 2021
1688 kr
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This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance …
Mathematical Morphology and Its Applications to Signal and Image Processing
12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings
Av Jón Atli Benediktsson, Jocelyn Chanussot m. fl.
Häftad, 2015
551 kr
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This book contains the thoroughly refereed proceedings of the 12th International Symposium on Mathematical Morphology, ISMM 2015 held in Reykjavik, Iceland, in May 2015. The 62 revised full papers were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections …
Mathematical Morphology and Its Applications to Signal and Image Processing
12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings
Av Hugues Talbot, Laurent Najman m. fl.
E-bok, 2015
734 kr
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This book contains the thoroughly refereed proceedings of the 12th International Symposium on Mathematical Morphology, ISMM 2015 held in Reykjavik, Iceland, in May 2015. The 62 revised full papers were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections …
Optical Remote Sensing
Advances in Signal Processing and Exploitation Techniques
Av Saurabh Prasad, Lori M. Bruce m. fl.
Inbunden, 2011
1639 kr
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Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This …
Optical Remote Sensing
Advances in Signal Processing and Exploitation Techniques
Av Jocelyn Chanussot, Lori M. Bruce m. fl.
E-bok, 2011
2111 kr
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Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This …
Optical Remote Sensing
Advances in Signal Processing and Exploitation Techniques
Av Saurabh Prasad, Lori M. Bruce m. fl.
Häftad, 2013
1639 kr
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Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This …
