Recent Advances in High Resolution Remote Sensing Image Processing and Analysis: Methodology and Application

Dear Colleagues,

With the rapid development of remotely sensed sensors and platforms, multi-source high resolution remote sensing images (e.g., optical imagery, SAR, and LiDAR) are widely available, opening new opportunities for geo-related applications. These substantial quantities of data provide both scientific insights and scalability for monitoring natural disaster (e.g., floods, forest fires, and earthquakes) as well as human activities (e.g., land-use/land-cover classification, change detection). To process the enormous data volume and extract meaningful information, deep learning based techniques, such as Convolutional neural networks, Recurrent networks, Attention mechanism and Transformer, have achieved ground-breaking performance in high resolution remote sensing image interpretation. However, several challenges and open issues remain to be addressed, including the efficient solutions, novel technologies for feature representations, and robust large-scale applications. For this special issue, we encourage the submission of articles to address advanced topics related to high resolution remote sensing image processing. Topics of interests include but are not limited to the following:

• Fine scale land-use/Land-cover classification;
• Data/knowledge driven methods for remote sensing imagery;
• Fusion strategy of multi-modal remote sensing data;
• Novel network structure for high resolution remote sensing image analysis;
• Small object detection and tracking;
• Time series using change detection;
• Transfer learning in high resolution remote sensing interpretation;
• Data pre-processing methods for multi-modal remote sensing data;
• High resolution remote sensing application (e.g., agricultural, urban planning).

Dr. Qiqi Zhu
Prof. Dr. Danfeng Hong
Dr. Ce Zhang
Prof. Dr. Pedram Ghamisi
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 250 words) can be sent to the Editorial Office for assessment.

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.