Advanced Image Processing Technologies and Applications for Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 12
Special Issue Editors
Interests: signal processing; object detection; image classification
Interests: SAR image processing; object recognition; urban classification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Earth observation is critically important for its unparalleled ability to monitor our planet systematically and globally. Satellites, aircraft, and other platforms provide vital data on environmental changes, climate patterns, and resource distribution. This kind of information is fundamental for addressing global challenges, including climate change mitigation, disaster management, and agricultural forecasting. Also, it can support national security, urban planning, and informed policymaking for sustainable development. With the development of sensors, various image processing technologies have been invented to enhance our understanding of Earth. For example, due to the penetrating power of microwaves, synthetic aperture radar (SAR) has become an indispensable device for observing regions usually covered by clouds and rain; if we want to obtain a higher resolution image, an optical imaging device like a camera may be the best choice, whereas during the night, infrared images can effectively detect some targets of interest on the ground; if we want to detect spectral information of scenes, hyperspectral images are necessary. Without doubt, these technologies expand our observational dimensions across spatial, temporal, and frequency domains. Hence, it is meaningful for us to organize a Special Issue to present new image processing technologies.
This Special Issue welcomes contributions on the latest advancements in image processing technologies. Topics of interest include (but are not limited to) optical imaging, SAR imaging, infrared imaging, multi-dimensional observation techniques:
- Radar signal processing;
- Optical image processing;
- Infrared image processing;
- Hyperspectral image processing;
- SAR image processing;
- Polarimetric SAR image interpretation;
- Interferometric SAR (InSAR) image processing;
- Multi-sensor data fusion;
- 3D reconstruction;
- Object detection;
- Target recognition;
- Image classification.
Prof. Dr. Feiming Wei
Dr. Tao Zhang
Dr. Jin Ma
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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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.
Keywords
- deep learning
- advanced image processing
- target recognition
- image classification
- object detection
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