Big Data Analytics for Satellite Image Processing and Remote Sensing
Big Data Analytics for Satellite Image Processing and Remote Sensing by P. Swarnalatha is a scholarly resource published by Engineering Science Reference in 2018. This 253-page book explores the advancements in image processing and recognition, particularly in the context of remote sensing and the challenges associated with implementing big data analytics in this field.
Readers will find a comprehensive examination of various topics, including distributed computing, parallel processing, and spatial data, all of which are essential for understanding the optimal utilization of new imaging techniques. The book is designed for scientists, professionals, researchers, and academicians who are interested in current research and developments in the intersection of big data analytics and satellite image processing.
Official synopsis Publisher
The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.
Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.
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