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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 - Tapa blanda
- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2023
- ISBN 10 6206781798
- ISBN 13 9786206781790
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas168
- Contacto del fabricanteno disponible
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Advanced Image Processing Techniques for Remote Sensing Applications
Publicado por
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: 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 . Nº de ref. del artículo: 1132722008
Cantidad disponible: Más de 20 disponibles
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Advanced Image Processing Techniques for Remote Sensing Applications
Publicado por
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786206781790
Cantidad disponible: 2 disponibles
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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
Publicado por
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786206781790
Cantidad disponible: 1 disponibles
Imagen del vendedor
Advanced Image Processing Techniques for Remote Sensing Applications
Publicado por
LAP LAMBERT Academic Publishing Sep 2023, 2023
ISBN 10: 6206781798
ISBN 13: 9786206781790
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9786206781790
Cantidad disponible: 2 disponibles