Advances And Applications Of Artificial Intelligence In Geoscience And Remote Sensing


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Advances and applications of artificial intelligence in geoscience and remote sensing


Advances and applications of artificial intelligence in geoscience and remote sensing

Author: Peng Zhenming

language: en

Publisher: Frontiers Media SA

Release Date: 2023-08-30


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Deep Learning for the Earth Sciences


Deep Learning for the Earth Sciences

Author: Gustau Camps-Valls

language: en

Publisher: John Wiley & Sons

Release Date: 2021-08-18


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DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.

Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS


Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

Author: Chang-Wook Lee

language: en

Publisher: Mdpi AG

Release Date: 2021-11-11


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This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.