Non Linear Spectral Unmixing of Hyperspectral Data is popular PDF and ePub book, written by Somdatta Chakravortty in 2024-08-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Non Linear Spectral Unmixing of Hyperspectral Data can be Read Online from any device for your convenience.

Non Linear Spectral Unmixing of Hyperspectral Data Book PDF Summary

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.

Detail Book of Non Linear Spectral Unmixing of Hyperspectral Data PDF

Non Linear Spectral Unmixing of Hyperspectral Data
  • Author : Somdatta Chakravortty
  • Release : 21 August 2024
  • Publisher : CRC Press
  • ISBN : 9781040112557
  • Genre : Technology & Engineering
  • Total Page : 167 pages
  • Language : English
  • PDF File Size : 14,5 Mb

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