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portada Deep Learning Approches for Geospatial Data Processsing
Type
Physical Book
Author
Publisher
Language
English
Pages
104
Format
Paperback
Dimensions
22.9 x 15.2 x 0.6 cm
Weight
0.16 kg.
ISBN13
9786207483433
Categories

Deep Learning Approches for Geospatial Data Processsing

Vimalraj N (Author) · Venkateswaran S (Author) · Chandrakanthamma L (Author) · LAP Lambert Academic Publishing · Paperback

Deep Learning Approches for Geospatial Data Processsing - N, Vimalraj ; S, Venkateswaran ; L, Chandrakanthamma

New Book Imported to Austria
Delivery: 20 Aug - 24 Aug Shipping: 13 to 14 business days.
66,47 €
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66,47 €

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Synopsis "Deep Learning Approches for Geospatial Data Processsing"

This book equips you with the necessary knowledge and insights to grasp the transformative impact of deep learning on geospatial data processing, opening doors to a future brimming with possibilities and advancements across numerous domains.The landscape of geospatial data processing is undergoing a transformative shift driven by the immense power of deep learning. Our ability to analyze and extract meaningful insights from the ever-growing volume and complexity of geospatial data, encompassing satellite imagery, aerial photographs, point clouds, and sensor measurements, has been significantly enhanced.The vast realm of geospatial data, encompassing satellite imagery, point clouds, and sensor readings, holds immense potential for unlocking insights about our planet. However, the sheer volume, complexity, and variability of this data pose significant challenges to traditional processing methods. This book dives into the transformative power of deep learning, a cutting-edge approach within artificial intelligence, to address these hurdles.

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