Object Detection in Remote Sensing Images: Progress and Challenges
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 2394
Special Issue Editors
Interests: remote sensing image processing; object detection; deep learning; oil pollution
Interests: ship detection; oil spill detection; SAR; marine radar images
Special Issue Information
Dear Colleagues,
Object detection in remote sensing images plays a crucial role in various fields, such as urban planning, land cover classification, disaster management, and environmental monitoring.
The importance of object detection lies in its ability to extract valuable information from remote sensing data, enabling better decision making and analysis. By accurately identifying and delineating objects, it becomes possible to monitor changes over time, assess the impact of natural disasters, detect illegal activities, and plan for infrastructure development. Additionally, object detection aids in the creation of detailed land cover maps, which are essential for urban growth modeling, precision agriculture, and conservation efforts.
However, object detection in remote sensing images also presents several challenges. These include the presence of complex backgrounds and variations in object appearances due to different imaging conditions, scale differences, and occlusions caused by vegetation or other objects. Furthermore, the large size of remote sensing datasets requires efficient algorithms capable of handling big data.
The aim of this Special Issue is to collate original research as well as review articles on the subject of object detection in remote sensing images. Potential topics include, but are not limited to, the following:
- Object detection;
- Remote sensing images;
- Urban planning;
- Environmental monitoring;
- Disaster management;
- Deep learning;
- Mapping;
- Real-time detection.
Dr. Binxin Liu
Dr. Peng Chen
Dr. Tong Wang
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. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
