Advances in Machine Learning and Image Analysis for GeoAI is popular PDF and ePub book, written by Saurabh Prasad in 2024-06-01, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Advances in Machine Learning and Image Analysis for GeoAI can be Read Online from any device for your convenience.
Advances in Machine Learning and Image Analysis for GeoAI Book PDF Summary
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, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. Covers the latest machine learning and signal processing techniques that can effectively leverage geospatial imagery at scale Presents a variety of algorithmic frameworks, including variants of convolutional neural networks, multi-stream networks, Bayesian networks, and more Includes open-source code-base for algorithms described in each chapter
Detail Book of Advances in Machine Learning and Image Analysis for GeoAI PDF
- Author : Saurabh Prasad
- Release : 01 June 2024
- Publisher : Elsevier
- ISBN : 9780443190780
- Genre : Science
- Total Page : 366 pages
- Language : English
- PDF File Size : 21,5 Mb
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