Data Mining in Multi-Platform Remote Sensing

Dear Colleagues,

The importance of computational imaging techniques is unequivocally recognized in different fields of remote sensing for a variety of applications including geology, mineralogy, environmental, and target detection applications. Many techniques have been developed to strengthen previous approaches by improving the enhancement and accuracy of performance, reliability, and computational time. Such methods are considered attractive to scientists, engineers, and industries.

This Special Issue will collect new developments and methodologies, best practices, and applications of datamining methods for remote sensing. We welcome submissions that provide the community with the most recent advancements in all aspects of datamining methods in remote sensing, including but not limited to the following:

• Data processing, machine learning, and pattern recognition approach in infrared and thermography. and photogrammetry
• Geothermal and mineral mapping (infrared thermography, portable instruments, drill core imagery, etc.)
• Data analysis (image classification, feature extraction, target detection, change detection, biophysical parameter estimation, etc.)
• Platforms and new sensors onboard (multispectral, hyperspectral, thermal, lidar, SAR, gas or radioactivity sensors, etc.)
• Data fusion: integration of UAV imagery with satellite, aerial or terrestrial data, integration of heterogeneous data captured by UAVs, real-time processing / collaborative and UAV fleets applied to remote sensing
• Applications (geology, mineralogy, 3D mapping, urban monitoring, precision farming, forestry, disaster prevention, assessment and monitoring, search and rescue, security, archaeology, industrial plant inspection, etc.)

Dr. Bardia Yousefi
Prof. Dr. Rubén Usamentiaga
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.