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Springer Infrared Small Target Detection - Research Book

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Description

Explore the advanced world of infrared imaging with this comprehensive resource from Springer. Infrared Small Target Detection: Theory, Methods, and Algorithms provides a deep look into the essential principles and mathematical foundations of small object detection. This book serves as a guide for the research community by examining different models and categories of detection algorithms. It offers detailed descriptions and comparisons of various methods, helping readers understand the specific strengths and limitations of each approach. Whether you are studying infrared imaging or developing new detection algorithms, this text provides the necessary theoretical framework and technical insights required for modern research in the field.

Key Features

This Springer publication provides a thorough introduction to the theory and methods used in infrared small target detection.

The text covers a wide range of detection algorithms, making it a valuable resource for the research community.

Readers can access detailed descriptions and comparisons of different algorithm categories to understand their specific limitations.

The book explores diverse models within the field of infrared imaging and small object detection.

This resource is designed to support academic study and professional research in discrete mathematics and imaging science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 March 2024
Listed Since
06 December 2023

Barcode

No barcode data available

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