New Challenges in Remote Sensing Image Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 149
Special Issue Editors
Interests: remote sensing; feature maps; object detection; remote sensing images; bounding box; convolutional neural network; building extraction
Interests: big data analysis; artificial intelligence and deep learning; intelligent protection of ancient books; multimodal learning
Interests: computer vision; remote sensing image understanding; geospatial data mining and visualization
Interests: computer vision; pattern recognition; remote sensing image interpretation; especially on object detection; image pretraining; cross-modal image–text retrieval
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to our Special Issue on “New Challenges in Remote Sensing Image Processing”. This rapidly evolving field is of great importance, especially with the increasing availability of high-resolution remote sensing data. There is a pressing need for innovative image processing techniques to extract meaningful information efficiently and accurately. This Special Issue aims to highlight the latest advancements and ongoing challenges in remote sensing image processing. It is in line with the scope of Electronics of fostering cutting-edge research in image processing and related areas. We aim to have a collection of at least 10 articles, and this Special Issue may be printed in book form if this number is reached. In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, machine learning and artificial intelligence applications, multimodal data fusion, image enhancement and restoration, SAR imaging and processing, change detection, object detection and classification, 3D reconstruction, and the handling of big data analysis and real-time processing challenges.
We look forward to receiving your contributions.
Technical Program Committee Members:
- Xiyu Qi Aerospace Information Research Institute, CAS
- Yi Wang Aerospace Information Research Institute, CAS
- Zheng Liu Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance, Ministry of Education
- Yidan Zhang Aerospace Information Research Institute, Chinese Academy of Sciences
Dr. Kaiqiang Chen
Prof. Dr. Yu Weng
Dr. Zide Fan
Dr. Zicong Zhu
Guest Editors
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Keywords
- remote sensing
- machine learning
- multimodal data fusion
- image enhancement
- SAR imaging and processing
- change detection
- object detection
- 3D reconstruction
- big data analysis
- real-time processing
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