Object Detection and Information Extraction Based on Remote Sensing Imagery (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 458
Special Issue Editors
Interests: deep learning; object detection and tracking; reinforcement learning; hyperspectral image processing
Special Issues, Collections and Topics in MDPI journals
Interests: mathematical models for visual information; graph matching problem and its applications; computer vision and machine learning; large-scale 3D reconstruction of visual scenes; information processing, fusion, and scene understanding in unmanned intelligent systems; interpretation and information mining of remote sensing images
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing image processing; hyperspectral remote sensing; deep learning in remote sensing; change detection in remote sensing; remote sensing applications in urban planning; geospatial data analysis and modeling; SAR remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; pattern recognition; image processing; machine learning; deep learning; object detection and tracking; video analysis; remote sensing applications
Special Issues, Collections and Topics in MDPI journals
2. Visual Learning and Reasoning Team, Department EO Data Science, DLR-IMF, Oberpfaffenhofen, Germany
Interests: natural language and earth observation; UAV video understanding; 3D structure inference from monocular optical/SAR imagery; recognition in remote sensing imagery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are launching the second Special Issue of Remote Sensing to be released under the title “Object Detection and Information Extraction Based on Remote Sensing Imagery”.
Remote sensing technology has become a fundamental means by which humans might observe the Earth, and has driven progress in many applicative fields, such as environmental surveillance, disaster monitoring, ocean situational awareness, traffic management, and modern military, etc. However, the intelligent interpretation of remote sensing data poses unique challenges due to limited imaging capabilities, extremely high annotation costs, and insufficient multimodal data fusion. In recent years, deep learning techniques, represented by convolutional neural networks (CNNs) and transformers, have shown remarkable success in computer vision tasks due to their powerful feature extraction and representation capabilities. However, their application in remote sensing imagery is still relatively limited. In this Special Issue, we aim to compile state-of-the-art research pertaining to the application of machine learning methods for object detection and information extraction based on remote sensing imagery.
This Special Issue aims to present the latest advancements and emerging trends in the field of object detection and information extraction in remote sensing imagery. Specifically, the topics of interest include, but are not limited, to the following suggested themes:
- Object detection and tracking in remote sensing images/videos;
- Scene recognition, road extraction, and semantic segmentation;
- Anomaly detection and quality evaluation of remote sensing data;
- Multimodal remote sensing information extraction and fusion;
- Few/zero-shot learning in remote sensing data.
Prof. Dr. Jie Feng
Prof. Dr. Gui-Song Xia
Prof. Dr. Xiangrong Zhang
Prof. Dr. Gong Cheng
Prof. Dr. Lichao Mou
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- object detection of remote sensing images
- object detection and tracking of remote sensing videos
- few/zero-shot learning
- multi-source data fusion
- weakly supervised learning
- semantic segmentation
- remote sensing image classification
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