AI in Object Detection

Dear Colleagues,

Small object detection and tracking is currently one of the most challenging and fundamental topics in computer vision. ‘Small objects’ are typically characterized by small size, low contrast, and blurred edges, which collectively complicate the tasks of detection and tracking. In recent years, advancements in this field have facilitated the application of small-object detection and tracking in remote sensing imagery across diverse domains, including mineral exploration, precision agriculture, urban planning, forestry management, and disaster assessment. Despite these advancements, several critical challenges persist in real-world applications, particularly in the context of high-resolution remote sensing imagery. Key issues include the difficulty of extracting detailed information from small objects, the trade-off between detection accuracy and computational efficiency, the ability to identify unknown or untrained categories within remote sensing data, and the effective tracking of small objects over time. Addressing these challenges remains essential for advancing the practical utility of small-object detection and tracking systems. Therefore, we invite submissions of papers including theoretical research and those on practical applications related to transformer models and deep learning architecture for small object detection related to remote sensing images.

Dr. Fengping An
Prof. Dr. Haitao Xu
Dr. Chuyang Ye
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. Applied Sciences 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 2400 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.