Rethinking Remote Sensing from the Perspective of Visual Understanding: Enhancement, Fusion, Classification, Detection and Segmentation
A Special Issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 28 February 2027 | Viewed by 99
Editors
2. Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China
Interests: remote sensing image processing; multimodal fusion; pansharpening; segmentation; object detection; foundation model
Special Issues, Collections and Topics in MDPI journals
2. Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing 211100, China
Interests: remote sensing image processing; artificial intelligence; water resource management
Special Issues, Collections and Topics in MDPI journals
Interests: smart cities and sustainable development; remote sensing of urban environment; remote sensing of wetlands; multi-sensor data fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing has entered a new era in which massive, multi-source, and multi-scale observations are continuously acquired from satellite, airborne, UAV, and ground-based platforms. Meanwhile, advances in computer vision and artificial intelligence are reshaping how remote sensing data are enhanced, interpreted, and transformed into actionable geospatial knowledge. However, complex imaging conditions, heterogeneous sensors, limited annotations, domain shifts, and the demand for trustworthy models still challenge robust visual understanding in real-world remote sensing applications.
This Special Issue aims to provide a timely forum for methodological innovations, benchmark studies, and practical applications that bridge remote sensing science with visual understanding, particularly in image processing and pattern recognition, data fusion and assimilation, multi/hyperspectral sensing, active sensing, geometric reconstruction, change detection, and applications across environmental, urban, agricultural, ecological, oceanic, atmospheric, and disaster-related domains.
We welcome original research articles, reviews, technical notes, communications, perspectives, benchmark/data papers, and application-oriented studies. Topics of interest include, but are not limited to:
- Image restoration, super-resolution, dehazing, denoising, pansharpening, and cloud removal;
- Multimodal, multisensor, multitemporal, and cross-resolution data fusion;
- Land-cover/land-use classification, scene recognition, and change analysis;
- Object detection, recognition, semantic segmentation, instance segmentation, panoptic segmentation, and 3D segmentation;
- Foundation models, self-/weakly supervised learning, domain adaptation, few-shot learning, interpretable and uncertainty-aware models;
- Efficient/on-board processing, and visual understanding for Earth observation applications.
You may choose our Joint Special Issue in Remote Sensing.
Dr. Xin Li
Dr. Xin Lyu
Dr. Hongsheng Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- visual understanding
- image enhancement
- data fusion
- scene classification
- object detection
- semantic segmentation
- multimodal learning
- foundation models
- earth observation
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