Geospatial Object Detection and Geographic Image Classification Based on Remote Sensing Imagery
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 1256
Special Issue Editors
Interests: remote sensing; computer vision
Interests: remote sensing; machine vision; Landsat time series; land cover
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the launching of more and more satellites with different kinds of sensors, massive remote sensing images are available for use. It provides the opportunity to extract geoinformation from remote sensing images to support scientific and engineering research. As a solution to extracting geoinformation from remote sensing images, geospatial object detection and image classification has been an important topic in the remote sensing community for some decades. Boosted by deep learning, it has advanced quickly in recent years. Even though great advances have been made, it is still an open issue to develop new ideas, theories and methods for geospatial object detection and geoinformation extraction from remote sensing images.
This Special Issue aims at studying new ideas, theories and methods for geospatial object detection and geoinformation extraction from remote sensing images, and also aims at demonstrating their applications. Topics may cover geospatial object detection, image segmentation, image classification, etc. The above topics can be embedded in land use and land cover, urban scene classification, urban geoinformation extraction, and so on.
Articles may address, but are not limited to, the following topics:
- Geospatial object detection;
- Building extraction;
- Road extraction;
- Vehicle detection;
- Tree detection;
- Scene recognition and classification;
- Land use and land cover mapping;
- Remote sensing image classification;
- Remote sensing image segmentation.
Dr. Dengfeng Chai
Dr. Hankui Zhang
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
- superpixel segmentation
- semantic segmentation
- instance segmentation
- panoptic segmentation
- supervised learning
- unsupervised learning
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