Change Detection and Classification with Hyperspectral Imaging
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 200
Special Issue Editors
Interests: remote sensing image processing and applications
Interests: change detection; deep learning; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; machine learning; hyperspectral image; high resolution image
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hyperspectral imaging is a pivotal technology in the field of remote sensing, offering high-resolution spectral information for Earth observation. This technology excels in capturing subtle spectral differences, which is crucial in monitoring natural and human-induced changes. Despite significant advancements, several challenges remain in classifying and interpreting these spectral signatures with high accuracy and in capturing and detecting essential changes over time. The incorporation of machine learning and artificial intelligence promises to unlock new levels of accuracy and efficiency in classification and change detection.
This Special Issue will bring together the latest research and innovative methodologies in hyperspectral image classification and change detection. We will also explore the potential of hyperspectral technology in various applications, bridging the gap between theoretical research and practical applications, including, but not limited to, environmental monitoring, urban planning, and agricultural management.
Dr. Xinxin Liu
Dr. Bin Yang
Dr. Qian Shi
Dr. Lin Lei
Guest Editors
Manuscript Submission Information
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Keywords
- advanced algorithms for hyperspectral image classification
- machine learning and deep learning approaches for change detection
- hybrid approaches combining traditional and AI-based methods
- validation techniques for hyperspectral change detection
- integration of hyperspectral data with other remote sensing technologies
- applications of hyperspectral classification or change detection in real-world problem-solving
- case studies of technological breakthroughs in classification or change detection
- time-series analysis of hyperspectral data for trend identification
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