Object-Level Remote Sensing Image Information Extraction and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 70236
Special Issue Editors
Interests: remote sensing image processing; intelligent information processing
Special Issues, Collections and Topics in MDPI journals
Interests: photogrammetry and remote sensing; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning; artificial intelligence; feature extraction; geophysical image processing; image segmentation; remote sensing
Special Issues, Collections and Topics in MDPI journals
2. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Interests: remote sensing image processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: multimodal object detection and tracking
Special Issues, Collections and Topics in MDPI journals
Interests: multi-modal information extraction; image retrieval; 3D modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technology is an important technical means for human beings to perceive the world, and multimodal remote sensing technology has become the mainstream of current research. With the rapid development of artificial intelligence technology, many new remote sensing image processing methods have been proposed. Moreover, rapid advances in remote sensing methods have also promoted the application of associated algorithms and techniques to problems in many related fields, such as classification, segmentation and clustering, target detection, etc. This Special Issue aims to report and cover the latest advances and trends concerning multimodal remote sensing image processing methods and applications. Papers of both theoretical methods and applicative techniques, as well as contributions regarding new advanced methodologies to relevant scenarios of remote sensing data, are welcome. We look forward to receiving your contributions.
Prof. Dr. Chunhui Zhao
Prof. Dr. Xiuping Jia
Prof. Dr. Wei Li
Dr. Shou Feng
Dr. Nan Su
Dr. Yiming Yan
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- machine learning and deep learning for remote sensing
- multispectral/hyperspectral image processing
- LiDAR
- SAR
- target detection and anomaly detection
- semantic segmentation and classification
- object re-identification using cross-domain/cross-dimensional images
- object 3D modeling and mesh optimization
- applications in remote sensing
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