International Symposium on Multispectral Image Processing (Ismip' 98 pdf epub mobi txt 电子书 下载 2026

简体网页||繁体网页

☆☆☆☆☆

出版者:SPIE-International Society for Optical Engine

作者:International Symposium on Multispectral Image Processing

出品人:

页数:646

译者:

出版时间:1998-09

价格:USD 120.00

装帧:Paperback

isbn号码:9780819430069

丛书系列:

图书标签:

• Multispectral Imaging
• Image Processing
• Remote Sensing
• Computer Vision
• Pattern Recognition
• Image Analysis
• Geoscience
• Optics
• Data Analysis
• Algorithms

Advances in Imaging Technologies: A Glimpse into the Future This volume showcases groundbreaking research and development in the field of advanced imaging technologies, offering a comprehensive overview of the latest breakthroughs and future directions. The collection delves into the intricate world of multispectral and hyperspectral imaging, exploring their fundamental principles, innovative applications, and emerging analytical techniques. Readers will find extensive discussions on the theoretical underpinnings of spectral imaging, including the physics of light-matter interaction, sensor technologies, and data acquisition methodologies. The book meticulously details the construction and calibration of various multispectral and hyperspectral sensors, ranging from ground-based systems to airborne and spaceborne platforms. Emphasis is placed on the challenges and solutions associated with achieving high spatial, spectral, and radiometric resolution, ensuring the integrity and accuracy of captured data. A significant portion of the book is dedicated to the diverse and rapidly expanding applications of these advanced imaging techniques across a multitude of disciplines. In the realm of environmental monitoring and earth observation, the volume highlights how multispectral and hyperspectral data are revolutionizing our understanding of vegetation health, agricultural productivity, land cover classification, and water resource management. Detailed case studies illustrate the use of these technologies in detecting pollution sources, monitoring deforestation, assessing drought impacts, and mapping mineral resources. The agricultural sector benefits immensely from these advancements, and the book provides in-depth coverage of precision agriculture. It explores how spectral signatures can be used to identify crop diseases at their earliest stages, optimize fertilizer and pesticide application, predict yield, and assess soil nutrient status. The precision and detail offered by hyperspectral imaging enable farmers to make data-driven decisions, leading to increased efficiency and sustainability. In medical imaging and diagnostics, the book presents compelling research on the application of spectral imaging for non-invasive disease detection and characterization. Discussions include the use of these technologies in identifying cancerous tissues, analyzing tissue composition, and monitoring therapeutic responses. The ability to capture subtle spectral variations allows for earlier and more accurate diagnoses, potentially leading to improved patient outcomes. Beyond these major areas, the volume also explores cutting-edge applications in material science, where spectral analysis aids in identifying and characterizing materials, detecting defects, and ensuring quality control in manufacturing processes. The forensic sciences also leverage spectral imaging for the analysis of evidence, such as identifying counterfeit materials, analyzing inks, and uncovering hidden markings. The technical aspects of data processing and analysis are thoroughly addressed. The book covers a spectrum of advanced algorithms and methodologies for handling the massive datasets generated by spectral imaging. This includes discussions on dimensionality reduction techniques, spectral unmixing, feature extraction, and the application of machine learning and deep learning models for classification, regression, and anomaly detection. The challenges of atmospheric correction, sensor noise reduction, and the integration of spectral data with other geospatial information systems are also tackled with practical solutions. Furthermore, the book anticipates future trends and research frontiers. It speculates on the development of next-generation sensor technologies, novel data fusion techniques, and the integration of artificial intelligence for automated analysis and interpretation. The potential for real-time spectral imaging and its implications for dynamic monitoring applications are also explored. This collection serves as an invaluable resource for researchers, engineers, scientists, and practitioners working in the fields of remote sensing, environmental science, agriculture, medical imaging, material science, and computer vision. It not only provides a comprehensive understanding of the current state-of-the-art but also inspires new avenues of research and innovation in the ever-evolving landscape of imaging technologies.

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆

评分☆☆☆☆☆