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Special Issue "Laser and Optical Remote Sensing for Planetary Exploration"

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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: 18 January 2024 | Viewed by 3208

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Special Issue Editors

Prof. Dr. Zhiping He
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Guest Editor

Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Interests: space optics; optoelectronic technology

Prof. Dr. Oleg Korablev

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Guest Editor

Space Research Institute, Russian Academy of Sciences, 84/32 Profsoyuznaya Str., Moscow 117997, Russia
Interests: physics of planets; remote sensing; space instruments

Prof. Dr. Bin Xue
E-Mail Website
Guest Editor

Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
Interests: spectral imaging technology; new optical remote sensing method

Prof. Dr. Genghua Huang

E-Mail Website
Guest Editor

Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
Interests: satellite-based laser altimetry; laser 3D imaging; photon counting LIDAR

Special Issue Information

Dear Colleagues,

Planetary exploration is of great significance in promoting the development of science and technology and advancing human civilization more broadly, representing the frontier field of science and technology development in the world. Laser and optical remote sensing payloads, including cameras, spectrometers, imaging spectrometers, and LiDAR, have been widely applied in planetary exploration, playing an irreplaceable role with excellent prospects for scientific and technological applications. While the techniques of laser and optical remote sensing for planetary exploration are similar to those applied for Earth remote sensing, the application of laser and optical remote sensing in planetary exploration is confronted with problems such as complex deep space environments, lighter and smaller requirements on payloads with lower power consumption and long-life payload design requirements, and therefore requires specialized research.

With the development of computational optics, machine learning, materials science and other fields, laser and optical payloads will definitely achieve higher resolution, higher sensitivity and wider detection range to help planetary remote sensing exploration.

This Special Issue aims to study key technologies in laser and optical remote sensing, focusing on topics ranging from remote sensing payload development, breakthroughs in key technologies, research on quantification methods and data processing for scientific applications. In addition, new methods and research on the topic of multi-source data composite applications in laser/optical remote sensing are also welcome. Articles may cover, but are not limited to, the following areas:

Laser and optical remote sensing payload for planetary exploration
Research on key technique of remote sensing payload
Research on spectral detection and component analysis technique
Research on LiDAR detection and navigation technique
Research on passive optical remote sensing technique
Optical laser/detector/sensor for navigation and guidance of deep space exploration
Research on novel method and technique adapted to complex space exploration
Dark and weak target detection method
Research on modeling/simulation/calibration/data processing/analysis of remote sensing payload
Multi-source remote sensing data composite application method

Prof. Dr. Zhiping He
Prof. Dr. Oleg Korablev
Prof. Dr. Bin Xue
Prof. Dr. Genghua Huang
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

laser and optical remote sensing payload
key technique of remote sensing payload
spectrometer and imaging spectrometer
laser altimeter and LiDAR
optical camera
calibration technique
data processing technique
lunar/Martian/planetary/deep space exploration
laser/optical/multi-spectral/hyper-spectral remote sensing

Published Papers (4 papers)

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Research

Open AccessCommunication

Pilot Study of Low-Light Enhanced Terrain Mapping for Robotic Exploration in Lunar PSRs

Jae-Min Park

Sungchul Hong

and

Hyu-Soung Shin

Remote Sens. 2023, 15(13), 3412; https://doi.org/10.3390/rs15133412 - 05 Jul 2023

Viewed by 521

Abstract

The recent discovery of water ice in the lunar polar shadowed regions (PSRs) has driven interest in robotic exploration, due to its potential utilization to generate water, oxygen, and hydrogen that would enable sustainable human exploration in the future. However, the absence of direct sunlight in the PSRs poses a significant challenge for the robotic operation to obtain clear images, consequently impacting crucial tasks such as obstacle avoidance, pathfinding, and scientific investigation. In this regard, this study proposes a visual simultaneous localization and mapping (SLAM)-based robotic mapping approach that combines dense mapping and low-light image enhancement (LLIE) methods. The proposed approach was experimentally examined and validated in an environment that simulated the lighting conditions of the PSRs. The mapping results show that the LLIE method leverages scattered low light to enhance the quality and clarity of terrain images, resulting in an overall improvement of the rover’s perception and mapping capabilities in low-light environments. Full article

(This article belongs to the Special Issue Laser and Optical Remote Sensing for Planetary Exploration)

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Open AccessArticle

Investigation into the Affect of Chemometrics and Spectral Data Preprocessing Approaches upon Laser-Induced Breakdown Spectroscopy Quantification Accuracy Based on MarSCoDe Laboratory Model and MarSDEEP Equipment

and

Remote Sens. 2023, 15(13), 3311; https://doi.org/10.3390/rs15133311 - 28 Jun 2023

Viewed by 515

Abstract

As part of China’s Tianwen-1 Mars mission, the Mars Surface Composition Detector (MarSCoDe) instrument on the Zhurong rover adopts laser-induced breakdown spectroscopy (LIBS) to perform chemical component detection of the materials on the Martian surface. However, it has always been a challenging issue to achieve high accuracy in LIBS quantification. This study investigated the effect of chemometrics and spectral data preprocessing approaches on LIBS quantification accuracy based on different chemometrics algorithms and diverse preprocessing methods. A total of 2340 LIBS spectra were collected from 39 kinds of geochemical samples by a laboratory duplicate model of the MarSCoDe instrument. The samples and the MarSCoDe laboratory model were placed in a simulated Martian atmosphere environment based on equipment called the Mars-Simulated Detection Environment Experiment Platform (MarSDEEP). To quantify the concentration of MgO in the samples, we employed two common LIBS chemometrics; i.e., partial least squares (PLS) and a back-propagation neural network (BPNN). Meanwhile, in addition to necessary routine preprocessing such as dark subtraction, we used five specific preprocessing approaches, namely intensity normalization, baseline removal, Mg-peak wavelength correction, Mg-peak feature engineering, and concentration range reduction. The results indicated that the performance of the BPNN was better than that of the PLS and that the preprocessing of Mg-peak wavelength correction had the most prominent effect to improve the quantification accuracy. The results of this study are expected to provide inspiration for the processing and analysis of the in situ LIBS data acquired by MarSCoDe on Mars. Full article

(This article belongs to the Special Issue Laser and Optical Remote Sensing for Planetary Exploration)

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Open AccessArticle

Passive 3D Imaging Method Based on Photonics Integrated Interference Computational Imaging System

and

Remote Sens. 2023, 15(9), 2333; https://doi.org/10.3390/rs15092333 - 28 Apr 2023

Viewed by 480

Abstract

Planetary, lunar, and deep space exploration has become the frontier of remote sensing science, and three-dimensional (3D) positioning imaging technology is an important part of lunar and deep space exploration. This paper presents a novel passive 3D imaging method based on the photonics integrated interference computational imaging system. This method uses a photonics integrated interference imaging system with a complex lens array. The midpoints of the interference baselines formed by these lenses are not completely overlapped. The distance between the optical axis and the two lenses of the interference baseline are not equal. The system is used to obtain the complex coherence factor of the object space at a limited working distance, and the image evaluation optimization algorithm is used to obtain the clear images and 3D information of the targets of interest. The simulation results show that this method is effective for the working scenes with targets located at single or multiple limited working distances. The sharpness evaluation function of the target presents a good unimodality near its actual distance. The experimental results of the interference of broad-spectrum light show that the theoretical basis of this method is feasible. Full article

(This article belongs to the Special Issue Laser and Optical Remote Sensing for Planetary Exploration)

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Open AccessArticle

A Phase Difference Measurement Method for Integrated Optical Interferometric Imagers

and

Remote Sens. 2023, 15(8), 2194; https://doi.org/10.3390/rs15082194 - 21 Apr 2023

Viewed by 950

Abstract

Interferometric imagers based on integrated optics have the advantages of miniaturization and low cost compared with traditional telescope imaging systems and are expected to be applied in the field of space target detection. Phase measurement of the complex coherence factor is crucial for the image reconstruction of interferometric imaging technology. This study discovers the effect of the phase of the complex coherence factor on the extrema of the interference fringes in the interferometric imager and proposes a method for calculating the phase difference of the complex coherence factor of two interference signals by comparing the extrema of the interferometric fringes in the area of approximate linear change in the envelope shape to obtain the phase information required for imaging. Experiments using two interferometric signals with a phase difference of

π

were conducted to verify the validity and feasibility of the phase difference measurement method. Compared with the existing phase measurement methods, this method does not need to calibrate the position of the zero optical path difference and can be applied to the integrated optical interferometric imager using a single-mode fiber, which also allows the imager to work in a more flexible way. The theoretical phase measurement accuracy of this method is higher than 0.05

π

, which meets the image reconstruction requirements. Full article

(This article belongs to the Special Issue Laser and Optical Remote Sensing for Planetary Exploration)

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Special Issue "Laser and Optical Remote Sensing for Planetary Exploration"

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