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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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