Remote Sensing Image Processing and Application, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 86

Special Issue Editors


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Guest Editor
School of Computer Science, China University of Geosciences, Wuhan 430074, China
Interests: satellite image analysis; satellite image processing; earth observation; geology; remote sensing; classification; feature selection; mapping; geospatial science; deep learning
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State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
Interests: remote sensing; land cover mapping; object detection; deep learning; disaster response
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Guest Editor
Traffic and Transportation Engineering, Central South University, Changsha 410075, China
Interests: planning and scheduling; swarm intelligence; evolutionary computation and intelligent transportation
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Special Issue Information

Dear Colleagues,

Today, it is easy to obtain remote sensing images from different types of sensors, such as hyperspectral, multispectral, LiDAR, etc. Remote sensing images (RSIs) are one of the fastest growing research areas because of their wide range of applications. 

As remote sensing technologies and methods continue to improve in recent decades, scientists have made great strides in the field of remote sensing image processing. Satellite, airborne, UAV, and terrestrial imaging techniques are constantly evolving in terms of data volume, quality, and variety. Remarkable efforts have been made to improve their interpretation accuracy, subpixel-level classification, and many other aspects.

This Special Issue will be a collection of articles focusing on new insights, new developments, current challenges, and future prospects in the field of remote sensing image processing. It aims to present the latest advances in innovative image analysis and processing techniques and their contribution to a wide range of application areas, in an effort to predict the future progress of the discipline and practice that they will facilitate in the coming years.

Prof. Dr. Weitao Chen
Dr. Ailong Ma
Prof. Dr. Guohua Wu
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. 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.

Keywords

  • remote sensing
  • image processing
  • hyperspectral image

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