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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 2366

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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
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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

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Published Papers (1 paper)

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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 - 7 Oct 2023
Cited by 4 | Viewed by 1718
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)
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