Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
8.6
4.1
Journals
Remote Sensing
Special Issues
Remote Sensing Satellites Calibration and Validation: 2nd Edition
remotesensing-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Remote Sensing Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Remote Sensing Satellites Calibration and Validation: 2nd Edition

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 1236

Special Issue Editors

Prof. Dr. Yonghua Jiang

E-Mail
Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: satellite calibration and validation; satellite image analysis; satellite image processing
Special Issues, Collections and Topics in MDPI journals
Dr. Mingjun Deng

E-Mail Website
Guest Editor
School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China
Interests: geometric calibration; radiometric calibraiton; space-borne SAR; SAR geolocation
Special Issues, Collections and Topics in MDPI journals
Dr. Litao Li

E-Mail Website
Guest Editor
College of City and Environment, Hubei Normal University, Huangshi 435002, China
Interests: radiometric calibration and processing of spaceborne optical imagery; radiometric calibration; relative calibration; night-time remote sensing calibration
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Satellite remote sensing images have the advantages of low cost, high efficiency, and rich information on the fine-scale spectral and texture geometry of objects. However, the data quality of these images is easily affected by interference and there are problems with mixed pixels. Remote sensing satellite calibration and validation, through advanced technological means, are dedicated to the quantitative design of satellites, pre-processing of geometric and radiation of images, and ensuring data quality from the source. This lays a solid foundation for the high-precision, efficient processing, analysis and prediction, and quantitative application of massive data.

This topic aims to gather high-level contributions related to satellite calibration and validation in Remote Sensing. Both original research articles with innovative ideas and review articles discussing the state of the art are welcomed.

We would like to invite research papers on the following topics providing an overview of the importance, methods, and challenges of satellite remote sensing calibration and validation, the performance of traditional photogrammetry and emerging deep learning techniques in the calibration and validation of remote sensing satellite data, the challenges of calibration and validation of high spectral and high-resolution satellite data, the calibration and accuracy enhancement strategies for extra-terrestrial observation satellite data, the importance of open data policies for satellite remote sensing calibration and validation, and the future of satellite remote sensing calibration and validation including new technologies and emerging research directions. We cordially invite fully prepared, unpublished research papers that cover one or more of the above topics.

Prof. Dr. Yonghua Jiang
Dr. Mingjun Deng
Dr. Litao Li
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 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.

Keywords

  • new calibration method
  • accuracy of satellite calibration
  • challenge of satellite calibration

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

26 pages, 6622 KB  
Article
Radiometric Cross-Calibration and Performance Analysis of HJ-2A/2B 16m-MSI Using Landsat-8/9 OLI with Spectral-Angle Difference Correction
by Jian Zeng, Hang Zhao, Yongfang Su, Qiongqiong Lan, Qijin Han, Xuewen Zhang, Xinmeng Wang, Zhaopeng Xu, Zhiheng Hu, Xiaozheng Du and Bopeng Yang
Remote Sens. 2025, 17(21), 3569; https://doi.org/10.3390/rs17213569 - 28 Oct 2025
Viewed by 304
Abstract
The Huanjing-2A/2B (HJ-2A/2B) satellites are China’s next-generation environmental monitoring satellites, equipped with four visible light wide-swath charge-coupled device (CCD) sensors. These sensors enable the acquisition of 16-m multispectral imagery (16m-MSI) with a swath width of 800 km through field-of-view stitching. However, traditional vicarious [...] Read more.
The Huanjing-2A/2B (HJ-2A/2B) satellites are China’s next-generation environmental monitoring satellites, equipped with four visible light wide-swath charge-coupled device (CCD) sensors. These sensors enable the acquisition of 16-m multispectral imagery (16m-MSI) with a swath width of 800 km through field-of-view stitching. However, traditional vicarious calibration techniques are limited by their calibration frequency, making them insufficient for continuous monitoring requirements. To address this challenge, the present study proposes a spectral-angle difference correction-based cross-calibration approach, using the Landsat 8/9 Operational Land Imager (OLI) as the reference sensor to calibrate the HJ-2A/2B CCD sensors. This method improves both radiometric accuracy and temporal frequency. The study utilizes cloud-free image pairs of HJ-2A/2B CCD and Landsat 8/9 OLI, acquired simultaneously at the Dunhuang and Golmud calibration sites between 2021 and 2024, in combination with atmospheric parameters from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) dataset and historical ground-measured spectral reflectance data for cross-calibration. The methodology includes spatial matching and resampling of the image pairs, along with the identification of radiometrically stable homogeneous regions. To account for sensor viewing geometry differences, an observation-angle linear correction model is introduced. Spectral band adjustment factors (SBAFs) are also applied to correct for discrepancies in spectral response functions (SRFs) across sensors. Experimental results demonstrate that the cross-calibration coefficients differ by less than 10% compared to vicarious calibration results from the China Centre for Resources Satellite Data and Application (CRESDA). Additionally, using Sentinel-2 MSI as the reference sensor, the cross-calibration coefficients were independently validated through cross-validation. The results indicate that the radiometrically corrected HJ-2A/2B 16m-MSI CCD data, based on these coefficients, exhibit improved radiometric consistency with Sentinel-2 MSI observations. Further analysis shows that the cross-calibration method significantly enhances radiometric consistency across the HJ-2A/2B 16m-MSI CCD sensors, with radiometric response differences between CCD1 and CCD4 maintained below 3%. Error analysis quantifies the impact of atmospheric parameters and surface reflectance on calibration accuracy, with total uncertainty calculated. The proposed spectral-angle correction-based cross-calibration method not only improves calibration accuracy but also offers reliable technical support for long-term radiometric performance monitoring of the HJ-2A/2B 16m-MSI CCD sensors. Full article
(This article belongs to the Special Issue Remote Sensing Satellites Calibration and Validation: 2nd Edition)
►▼ Show Figures

Graphical abstract

19 pages, 7781 KB  
Article
A Multi-Objective Gray Consistency Correction Method for Mosaicking Regional SAR Intensity Images with Brightness Anomalies
by Jiaying Wang, Xin Shen, Deren Li, Litao Li, Yonghua Jiang, Jun Pan, Zezhong Lu and Wei Yao
Remote Sens. 2025, 17(9), 1607; https://doi.org/10.3390/rs17091607 - 1 May 2025
Viewed by 529
Abstract
In the process of mosaicking regional synthetic aperture radar (SAR) intensity images, multiple images with significant brightness anomalies can cause a considerable number of pixels to exceed the grayscale quantization range. Applying traditional color harmonization methods increases this issue, causing a loss of [...] Read more.
In the process of mosaicking regional synthetic aperture radar (SAR) intensity images, multiple images with significant brightness anomalies can cause a considerable number of pixels to exceed the grayscale quantization range. Applying traditional color harmonization methods increases this issue, causing a loss of brightness information. We propose a multi-objective gray consistency correction method designed explicitly for mosaicking regional SAR intensity images with brightness anomalies to address this. We constructed a two-objective optimization model to ensure regional image gray consistency and mitigate brightness information loss. The truncation values of brightness anomaly images were selected as decision variables, maximizing the overall gray consistency of overlapping image pairs and minimizing the number of pixels with grayscale values that were out of bounds as the objective functions. To synchronously solve the truncation values of brightness anomaly images and linear stretch parameters of all images, a hybrid framework that combines the non-dominated sorting genetic algorithm II (NSGA-II) with the quadratic programming (QP) algorithm was proposed. Two large-area experimental results show that the proposed method achieves a balanced optimization between gray consistency and brightness information loss for regional SAR intensity image mosaicking. Compared with the traditional method, our method reduces brightness information loss by 99.552–99.647% and 99.973–99.969%, respectively, while maintaining better peak signal-to-noise ratio performance. Full article
(This article belongs to the Special Issue Remote Sensing Satellites Calibration and Validation: 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop