Advances in Object and Activity Detection in Remote Sensing Imagery II

Dear Colleagues,

Air, sea, and spaceborne surveillance of objects and their activities have been greatly improved by the ubiquitous availability of drone, satellite, and underwater imaging data. Applications where remote monitoring is essential include surveillance; border control; rescue operations for disaster management; precision agriculture; monitoring the environment; detecting weeds; conducting surveys of land, pest animals, wildlife, and marine life; and detecting individual or group activity.

Recent advances in deep learning have enabled significant progress in the fields of object and activity recognition. Visual object detection attempts to precisely localise objects of target classes inside an image and identify each object instance with the correct class label. Similarly, activity recognition attempts to identify the behaviours or activities of an agent or group of agents based on sensor or video observation data. Detecting, identifying, tracking, and interpreting the behaviour of objects in images/videos captured by multiple cameras are very important and difficult problems. Combined, the recognition of objects and their activities in imaging data recorded by remote sensing devices is a very dynamic and difficult area of research. In the past decade, the number of papers in the field of object and activity recognition has increased significantly. Particularly, many academics have identified application fields for identifying objects and their unique behaviours from airborne and spaceborne pictures.

This Special Issue is a continuation of volume 1 on the same subject and encourages papers that investigate innovative and challenging themes for object and activity recognition in remote sensing images/videos recorded from a variety of platforms.

This Special Issue invites articles about the detection of objects and activities in remote sensing imagery. All articles will be carefully reviewed in a significantly shorter amount of time than most current publications in this field.

Dr. Anwaar Ulhaq
Guest Editor

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.