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Special Issue "Feature Extraction and Data Classification in Hyperspectral Imaging II"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 30 November 2023 | Viewed by 237

Special Issue Editors

Dr. Jaime Zabalza
E-Mail Website
Guest Editor
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XW, UK
Interests: signal and image processing; hyperspectral imaging; remote sensing; data mining; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Yijun Yan
E-Mail Website
Guest Editor
National Subsea Centre, Robert Gordon University, Aberdeen, UK
Interests: signal and image processing; hyperspectral imaging; remote sensing; data mining; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hyperspectral remote sensing is currently a fast-moving area of not only research but also industrial development, where captured hyperspectral cubes provide abundant information with great potential in many different applications. In this Special Issue, we aim to compile state-of-the-art research on how to tackle the “big data” problem of extracting the most useful information out of the hyperspectral paradigm for remote sensing applications.

This Special Issue (Volume 2) is open to any researcher working on hyperspectral remote sensing data mining and data classification. Specific topics include (but are not limited to) the following:

  • Denoising and enhancement;
  • Band selection and data reduction;
  • Supervised and unsupervised feature extraction and feature selection;
  • Compressive sensing and optimised data acquisition;
  • Spatial–spectral data fusion;
  • Spectral unmixing and super-resolution;
  • Deep learning approaches for data mining and data classification;
  • Visualisation of the data and features;
  • Fast implementation of the algorithms using a GPU, etc.;
  • Emerging new datasets and applications.

Dr. Jaime Zabalza
Prof. Dr. Jinchang Ren
Dr. Yijun Yan
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 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 2500 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

  • hyperspectral remote sensing
  • feature extraction
  • dimensionality reduction
  • classification
  • deep learning
  • efficient computation

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

1. Title: CBANet: An End-to-end Cross Band 2D Attention Network for Hyperspectral Image Change Detection
    Authors: Yinhe Li, Yijun Yan, Jinchang Ren, Andrei Petrovski
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