£138.43

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£138 today · previous high £138 · all-time low £122

CRC Press Non-Linear Spectral Unmixing of Hyperspectral Data

Amazon

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£138.43 £119.87 £123.92 £127.97 £132.02 £136.07 £140.12 25 July 2026 09 August 2026 24 August 2026 08 September 2026 24 September 2026
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Most common price: £138 (60 days, 96.8%)

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Description
This book is based on satellite image processing, focusing on the potential of hyperspectral image processing (HIP) research with a case study-based approach. It covers the background, objectives, and practical issues related to HIP and substantiates the needs and potentials of said technology for discrimination of pure and mixed endmembers in pixels, including unsupervised target detection algorithms for extraction of unknown spectra of pure pixels. It includes application of machine learning and deep learning models on hyperspectral data and its role in spatial big data analytics. Features include the following: Focuses on capability of hyperspectral data in characterization of linear and non-linear interactions of a natural forest biome. Illustrates modeling the ecodynamics of mangrove habitats in the coastal ecosystem. Discusses adoption of appropriate technique for handling spatial data (with coarse resolution). Covers machine learning and deep learning models for classification. Implements non-linear spectral unmixing for identifying fractional abundance of diverse mangrove species of coastal Sundarbans. This book is aimed at researchers and graduate students in digital image processing, big data, and spatial informatics.

Product Specifications
Brand
CRC Press
Format
hardcover
ASIN
1032450495
Category
Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain
Amazon UK
Release Date
07 September 2024
Listed Since
08 March 2024

Barcode

No barcode data available

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