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Advanced Image Processing Techniques for Remote Sensing Applications: A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement - Softcover
- PublisherLAP LAMBERT Academic Publishing
- Publication date2023
- ISBN 10 6206781798
- ISBN 13 9786206781790
- BindingPaperback
- LanguageEnglish
- Number of pages168
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Advanced Image Processing Techniques for Remote Sensing Applications
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
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Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar Kanagala SateeshK Sateesh Kumar, working as an Assistant Professor in SNIST, Hyderabad. His interested areas are Digital Image Processing, Remote Sensing and Machine Learning etc. Prof. G. Sreenivasulu, working as Professor in . Seller Inventory # 1132722008
Quantity: Over 20 available
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Advanced Image Processing Techniques for Remote Sensing Applications
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area. 168 pp. Englisch. Seller Inventory # 9786206781790
Quantity: 2 available
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Advanced Image Processing Techniques for Remote Sensing Applications : A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area. Seller Inventory # 9786206781790
Quantity: 1 available
Seller Image
Advanced Image Processing Techniques for Remote Sensing Applications
Published by
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.Books on Demand GmbH, Überseering 33, 22297 Hamburg 168 pp. Englisch. Seller Inventory # 9786206781790
Quantity: 2 available