A Review of Computer Vision for Remote Sensing Imagery

Dear Colleagues,

Today, an exponentially increasing amount of earth-observation data are being collected automatically, such as remote sensing data, multi-modality images, traffic streaming data, vehicle trajectories, and so on. These data include both images and video sequences of different resolutions, monitoring constantly the earth's surface, the mobility of humans, and the interactions between humans and the earth. Nevertheless, how to make full use of these abundant earth-observation data is still an open challenge. On the other hand, with the rapid development of computing, computer vision and deep learning techniques have been shown to be effective in many applications. This Special Issue aims to exploit the massive earth-observation datasets to deliver information for numerous applications such as urban planning, intelligent transportation, public safety by novel computer vision, and deep learning methods. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. For this Special Issue, we welcome the most recent advancements related, but not limited to:

• Computer vision method for remote sensing
• Deep learning architecture for remote sensing
• Machine learning for remote sensing
• Classification/Detection/Segmentation
• Anomaly/novelty detection for remote sensing
• Remote sensing data analysis
• Synthetic remote sensing data generation
• Explainable deep learning for time series/image/multimedia data
• Traffic pattern analysis and intelligent transportation
• Novel applications/Metrics/Benchmark datasets

Dr. Bo Du
Dr. Shuo Shang
Dr. Chang Xu
Dr. Yutian Lin
Guest Editors

Manuscript Submission Information

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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.