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Artificial intelligence techniques f...

Hemanth, D. Jude.

Artificial intelligence techniques for satellite image analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence techniques for satellite image analysisedited by D. Jude Hemanth.
其他作者:	Hemanth, D. Jude.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	viii, 274 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Remote sensingData processing.
電子資源:	https://doi.org/10.1007/978-3-030-24178-0
ISBN:	9783030241780$q(electronic bk.)

Artificial intelligence techniques for satellite image analysis
Artificial intelligence techniques for satellite image analysis[electronic resource] /edited by D. Jude Hemanth. - Cham :Springer International Publishing :2020. - viii, 274 p. :ill. (some col.), digital ;24 cm. - Remote sensing and digital image processing,v.241567-3200 ;. - Remote sensing and digital image processing ;v.16..

1. Heightening satellite image display via mobile augmented reality - a cutting-edge planning model -- 2. Multithreading Approach for clustering of Multi-Plane Satellite Images -- 3. Classification of field level crop types with a time series satellite data using Deep Neural Network -- 4. Detection of ship from satellite images using deep convolutional neural networks with improved median filter -- 5. Artificial Bee Colony optimized contrast enhancement for satellite image fusion -- 6. Effective transform domain denoising of oceanographic sar images for improved target characterization -- 7. Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images -- 8. Detection of natural features and objects in satellite images by semantic segmentation using neural networks -- 9. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery -- 10. Crop Classification and Mapping for Agricultural Land from Satellite Images -- 11. Next Generation Artificial Intelligence Techniques for Satellite Data Processing -- 12. A wavelet transform applied spectral index for effective water body extraction from moderate resolution satellite images.

The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.

ISBN: 9783030241780$q(electronic bk.)

Standard No.: 10.1007/978-3-030-24178-0doiSubjects--Topical Terms:

226296
Remote sensing
--Data processing.

LC Class. No.: G70.4 / .A785 2020

Dewey Class. No.: 910.28563

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520 $a The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
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