Computer Vision and Pattern Recognition in Environmental Informatics

This book presents advanced methods in computer vision and pattern recognition, highlighting their role in environmental informatics and data analysis.

The book Computer Vision and Pattern Recognition in Environmental Informatics explores the significant impact of computer vision and pattern recognition techniques on environmental informatics. These methods are known for their non-destructive, efficient, and effective nature, making them invaluable in analyzing and interpreting environmental data. Through various tools and methodologies, the book highlights how these technologies facilitate the observation, modeling, and understanding of various environmental targets, enhancing our ability to monitor ecological changes.

In particular, Computer Vision and Pattern Recognition in Environmental Informatics delves into multi-modal data fusion and feature extraction, which are crucial for reliable object detection and classification. The text emphasizes the importance of these technologies in mining the intrinsic relationships among diverse aspects of environmental data, showcasing their versatility and applicability in real-world scenarios. The book also provides case studies that illustrate the successful implementation of these techniques in monitoring and modeling various environmental elements, including plants, soil, insects, and aquatic species.

Additionally, this publication discusses innovative ideas related to environmental monitoring, such as automatic fish segmentation and recognition, real-time motion tracking systems, and image-based classification using mobile devices. It serves as a valuable resource for professionals, researchers, engineers, and students from different backgrounds, offering insights into cutting-edge developments in the field of environmental informatics.