Big Data Analytics for Satellite Image Processing and Remote Sensing

Big Data Analytics for Satellite Image Processing and Remote Sensing

P. Swarnalatha, Prabu Sevugan
Indexed In: SCOPUS
Release Date: March, 2018|Copyright: © 2018 |Pages: 253
DOI: 10.4018/978-1-5225-3643-7
ISBN13: 9781522536437|ISBN10: 1522536434|EISBN13: 9781522536444
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Cloud Databases
  • Clustering Computation
  • Distributed Computing
  • Feature Extraction
  • Image Classification
  • Parallel Processing
  • Spatial Data
  • Virtual Reality
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Editor/Author Biographies

Swarnalatha Purushotham is an Associate Professor, in the School of Computer Science and Engineering, VIT University, at Vellore, India. She pursued her Ph.D. degree in Image Processing and Intelligent Systems. She has published more than 130 papers in International Journals/International Conference Proceedings/National Conferences. She has 19+ years of teaching experience. She is a member of IACSIT, CSI, ACM, IACSIT, IEEE (WIE), ACEEE. She is an Editorial board member/reviewer of International/ National Journals and Conferences. Her current research interest includes Image Processing, Remote Sensing, Artificial Intelligence, Big Data Analytics and Software Engineering.

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