Shailesh ShankarDeshpande,Arun B.Inamdar
Hyperspectral Remote Sensing in Urban Environments
Hyperspectral Remote Sensing in Urban Environments
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Excellent- More about Hyperspectral Remote Sensing in Urban Environments
A comprehensive review of hyperspectral data analysis in urban environments covers the processing chain from basic imaging spectroscopy to advanced methods like deep learning, discussing spectral characteristics and supervised methods.
Format: Hardback
Length: 282 pages
Publication date: 31 October 2023
Publisher: Taylor & Francis Ltd
The comprehensive processing chain of hyperspectral data, particularly in urban environments, is explored in this detailed article. It provides a wealth of information on the mapping and classification of urban scenes, encompassing a range of techniques from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy. The article delves into the intricate spectral characteristics of urban materials commonly found in world cities, shedding light on their unique properties and applications. Furthermore, it discusses advanced supervised methods, including deep learning, with a dedicated focus on hyperspectral data analysis, highlighting their potential for accurate and efficient urban monitoring and management.
The comprehensive processing chain of hyperspectral data, particularly in urban environments, is explored in this detailed article. It provides a wealth of information on the mapping and classification of urban scenes, encompassing a range of techniques from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy. The article delves into the intricate spectral characteristics of urban materials commonly found in world cities, shedding light on their unique properties and applications. Furthermore, it discusses advanced supervised methods, including deep learning, with a dedicated focus on hyperspectral data analysis, highlighting their potential for accurate and efficient urban monitoring and management.
The comprehensive processing chain of hyperspectral data, particularly in urban environments, is explored in this detailed article. It provides a wealth of information on the mapping and classification of urban scenes, encompassing a range of techniques from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy. The article delves into the intricate spectral characteristics of urban materials commonly found in world cities, shedding light on their unique properties and applications. Furthermore, it discusses advanced supervised methods, including deep learning, with a dedicated focus on hyperspectral data analysis, highlighting their potential for accurate and efficient urban monitoring and management.
Weight: 720g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032359106
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