Special Issue "Image Processing and Spatial Neighbourhoods for Remote Sensing Data Analysis"
Deadline for manuscript submissions: 20 August 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 have led to the increased availability of a multitude of satellite and airborne data sources, with increasing spatial, spectral, and temporal resolutions. Additionally, at lower altitudes, airplanes and Unmanned Aerial Vehicles (UAVs) can deliver very high-resolution data from targeted locations. Remote sensing images of very high geometrical resolution can provide a precise and detailed representation of the surveyed scene. Thus, the spatial information contained in these images is fundamental for any application requiring the analysis of images.
In this Special Issue, we welcome methodological contributions in terms of novel spatial information extraction/modeling algorithms as well as their recent applications to relevant scenarios from remote sensing imagery. We invite you to submit the most recent advancements in (but not limited to) the following topics:
- Mathematical morphology (e.g., morphological filters, attribute filters, etc.) for the analysis of high-resolution remote sensing images;
- Image operations based on spatial neighbourhoods;
- Textural, structural, and semantic feature extraction;
- Operational methods for incorporating spatial information of high-resolution data;
- Object-based image processing;
- Semantic understanding and analysis.
Dr. Wenzhi Liao
Dr. Pedram Ghamisi
Dr. Lianru Gao
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.
- very high resolution
- remote sensing
- spatial information extraction
- mathematical morphology
- image processing