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Springer Mathematical Models for Remote Sensing Image Processing

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Description

Enhance your technical library with Mathematical Models for Remote Sensing Image Processing, published by Springer. This specialized volume is part of the Signals and Communication Technology series, focusing on the essential models and methods required for analyzing 2D satellite and aerial images. This book serves as a dedicated resource for professionals and students working within the field of computer science and remote sensing. By covering the mathematical foundations necessary for image processing, it provides the technical framework needed to understand how satellite and aerial data is interpreted. Whether you are researching signal processing or studying advanced computing methods, this text offers a structured approach to the complex task of 2D image analysis. It is an ideal addition for those looking to deepen their knowledge of how mathematical models apply to real-world remote sensing technologies.

Key Features

Part of the professional Signals and Communication Technology series from Springer.

Focuses on specific models and methods for the analysis of 2D satellite images.

Provides technical coverage for aerial image processing and remote sensing applications.

Designed for readers interested in computer science and advanced image analysis.

Offers a mathematical foundation for understanding remote sensing data processing.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 September 2018
Listed Since
05 September 2018

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No barcode data available

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