remotesensing-logo

Journal Browser

Journal Browser

Selected Papers from Remote Sensing Science Workshop

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1525

Special Issue Editor


E-Mail Website
Guest Editor
International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
Interests: remote sensing of ecological environment; data assimilation of remote sensing model; carbon - water coupling cycle simulation and climate change impact assessment for ecosystems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is created in collaboration with the Remote Sensing Science Workshop (https://sciforum.net/event/rsswc), which will be held in Nanjing, Jiangsu, China, on 16 November 2022. The conference participants are cordially invited to contribute a full manuscript to this Special Issue and receive discounts of CHF 500 on the Article Processing Charge.

The main sessions of the conference are as follows:

  • Remote Sensors, Data Acquisition and Processing;
  • Remote Sensing Application.

Prof. Dr. Weimin Ju
Guest Editor

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 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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

32 pages, 52716 KiB  
Article
Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
by Dingjie Xu, Na Ren and Changqing Zhu
Remote Sens. 2023, 15(19), 4860; https://doi.org/10.3390/rs15194860 - 07 Oct 2023
Cited by 2 | Viewed by 1037
Abstract
The integrity of remote-sensing image data is susceptible to corruption during storage and transmission. Perceptual hashing is a non-destructive data integrity-protection technique suitable for high-accuracy requirements of remote-sensing image data. However, the existing remote-sensing image perceptual hash-authentication algorithms face security issues in storing [...] Read more.
The integrity of remote-sensing image data is susceptible to corruption during storage and transmission. Perceptual hashing is a non-destructive data integrity-protection technique suitable for high-accuracy requirements of remote-sensing image data. However, the existing remote-sensing image perceptual hash-authentication algorithms face security issues in storing and transmitting the original perceptual hash value. This paper proposes a remote-sensing image integrity authentication method based on blockchain and perceptual hash to address this problem. The proposed method comprises three parts: perceptual hash value generation, secure blockchain storage and transmission, and remote-sensing image integrity authentication. An NSCT-based perceptual hashing algorithm that considers the multi-band characteristics of remote-sensing images is proposed. A Perceptual Hash Secure Storage and Transmission Framework (PH-SSTF) is designed by combining Hyperledger Fabric and InterPlanetary File System (IPFS). The experimental results show that the method can effectively verify remote-sensing image integrity and tamper with the location. The perceptual hashing algorithm exhibits strong robustness and sensitivity. Meanwhile, the comparison results of data-tampering identification for multiple landscape types show that the algorithm has stronger stability and broader applicability compared with existing perceptual hash algorithms. Additionally, the proposed method provides secure storage, transmission, and privacy protection for the perceptual hash value. Full article
(This article belongs to the Special Issue Selected Papers from Remote Sensing Science Workshop)
Show Figures

Graphical abstract

Back to TopTop