Advanced Image Processing Techniques by Kumar Kanagala (4 results)

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.

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 .

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.

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.