Special Issue "Advanced Multisensor Image Analysis techniques for land-cover Mapping"
Deadline for manuscript submissions: 31 January 2020
Dr. Pedram Ghamisi
Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Division Exploration, Machine Learning Group, Germany
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Interests: spectral and spatial techniques for hyperspectral image classification; multisensor data fusion; machine learning; deep learning
Recent advances in remote sensing technologies and their corresponding variety provide complementary information for the target detection, analysis, and observation of the Earth. However, the complexity and variety in remote sensing imaging technologies makes the simultaneous interpretation of the different data sources from ground measurements to aerial and space measurements very challenging. First, the large amount of multisource data makes the analysis cumbersome for the end-users. Second, integrating and interpreting multisource data requires one to develop exclusive image analysis techniques due to the different characteristics of the data, which are often caused by differences in the measurement techniques. As a result, conventional image processing techniques often either fail or they are not efficient enough for multisensor data analysis.
The main aim of this Special Issue is to present the most recent image processing and machine learning techniques for land-cover mapping and tracking using multisensor data such as hyperspectral, multispectral, light detection and ranging, and synthetic aperture radar data. We invite both analytical and application-oriented land-cover mapping techniques and procedures that integrate two or more remote sensing measurements, to be submitted in this Special Issue.
Dr. Behnood Rasti
Prof. Magnus Ulfarsson
Dr. Pedram Ghamisi
Prof. Jon Atli Benediktsson
Prof. Jocelyn Chanussot
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 papers will be 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. 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 1800 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.
- Multisensor fusion
- Multitemporal fusion
- Remote sensing
- Land-cover mapping
- Advanced image analysis
- Machine learning
- Deep learning