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35 Results Found

  • Article
  • Open Access
14 Citations
3,857 Views
16 Pages

7 May 2021

Impact craters refer to the most salient features on the moon surface. They are of huge significance for analyzing the moon topography, selecting the lunar landing site and other lunar exploration missions, etc. However, existing methods of impact cr...

  • Article
  • Open Access
18 Citations
3,795 Views
20 Pages

Split-Attention Networks with Self-Calibrated Convolution for Moon Impact Crater Detection from Multi-Source Data

  • Yutong Jia,
  • Gang Wan,
  • Lei Liu,
  • Jue Wang,
  • Yitian Wu,
  • Naiyang Xue,
  • Ying Wang and
  • Rixin Yang

12 August 2021

Impact craters are the most prominent features on the surface of the Moon, Mars, and Mercury. They play an essential role in constructing lunar bases, the dating of Mars and Mercury, and the surface exploration of other celestial bodies. The traditio...

  • Article
  • Open Access
5 Citations
4,522 Views
18 Pages

Three-Dimensional Model of the Moon with Semantic Information of Craters Based on Chang’e Data

  • Yunfan Lu,
  • Yifan Hu,
  • Jun Xiao,
  • Lupeng Liu,
  • Long Zhang and
  • Ying Wang

1 February 2021

China’s Chang’e lunar exploration project obtains digital orthophoto image (DOM) and digital elevation model (DEM) data covering the whole Moon, which are critical to lunar research. The DOM data have three resolutions (i.e., 7, 20 and 50 m), while t...

  • Article
  • Open Access
3 Citations
2,540 Views
25 Pages

Boundary Delineator for Martian Crater Instances with Geographic Information and Deep Learning

  • Danyang Liu,
  • Weiming Cheng,
  • Zhen Qian,
  • Jiayin Deng,
  • Jianzhong Liu and
  • Xunming Wang

15 August 2023

Detecting impact craters on the Martian surface is a critical component of studying Martian geomorphology and planetary evolution. Accurately determining impact crater boundaries, which are distinguishable geomorphic units, is important work in geolo...

  • Article
  • Open Access
24 Citations
9,013 Views
20 Pages

Lunar Crater Detection on Digital Elevation Model: A Complete Workflow Using Deep Learning and Its Application

  • Xuxin Lin,
  • Zhenwei Zhu,
  • Xiaoyuan Yu,
  • Xiaoyu Ji,
  • Tao Luo,
  • Xiangyu Xi,
  • Menghua Zhu and
  • Yanyan Liang

27 January 2022

Impact cratering process is the major geologic activity on the surface of the Moon, and the spatial distribution and size-frequency distribution of lunar craters are indicative to the bombardment history of the Solar System. The substantial efforts o...

  • Article
  • Open Access
7 Citations
3,176 Views
25 Pages

Identification of Lunar Craters in the Chang’e-5 Landing Region Based on Kaguya TC Morning Map

  • Yanshuang Liu,
  • Jialong Lai,
  • Minggang Xie,
  • Jiannan Zhao,
  • Chen Zou,
  • Chaofei Liu,
  • Yiqing Qian and
  • Jiahao Deng

15 January 2024

Impact craters are extensively researched geological features that contribute to various aspects of lunar science, such as evaluating the model age, regolith thickness, etc. The method for identifying impact craters has gradually transitioned from ma...

  • Article
  • Open Access
7 Citations
2,822 Views
16 Pages

YOLOv8-LCNET: An Improved YOLOv8 Automatic Crater Detection Algorithm and Application in the Chang’e-6 Landing Area

  • Jing Nan,
  • Yexin Wang,
  • Kaichang Di,
  • Bin Xie,
  • Chenxu Zhao,
  • Biao Wang,
  • Shujuan Sun,
  • Xiangjin Deng,
  • Hong Zhang and
  • Ruiqing Sheng

3 January 2025

The Chang’e-6 (CE-6) landing area on the far side of the Moon is located in the southern part of the Apollo basin within the South Pole–Aitken (SPA) basin. The statistical analysis of impact craters in this region is crucial for ensuring...

  • Article
  • Open Access
2,409 Views
18 Pages

Pseudo-Spectral Spatial Feature Extraction and Enhanced Fusion Image for Efficient Meter-Sized Lunar Impact Crater Automatic Detection in Digital Orthophoto Map

  • Huiwen Liu,
  • Ying-Bo Lu,
  • Li Zhang,
  • Fangchao Liu,
  • You Tian,
  • Hailong Du,
  • Junsheng Yao,
  • Zi Yu,
  • Duyi Li and
  • Xuemai Lin

11 August 2024

Impact craters are crucial for our understanding of planetary resources, geological ages, and the history of evolution. We designed a novel pseudo-spectral spatial feature extraction and enhanced fusion (PSEF) method with the YOLO network to address...

  • Article
  • Open Access
3,268 Views
23 Pages

Analysis of the First Optical Detection of a Meteoroidal Impact on the Lunar Surface Recorded from Brazil

  • David Duarte Cavalcante Pinto,
  • Masahisa Yanagisawa,
  • Marcelo Luiz do Prado Villarroel Zurita,
  • Romualdo Arthur Alencar Caldas,
  • Marcelo Domingues,
  • Rafaela Lisboa Costa,
  • Rodrigo Lins da Rocha Júnior,
  • Fabrício Daniel dos Santos Silva,
  • Heliofábio Barros Gomes and
  • Helber Barros Gomes
  • + 5 authors

22 June 2022

Two lunar flashes are reported and fully analyzed, with one of them fulfilling every criterion preconized in the literature for the characterization of an impact, including confirmation by two simultaneous observations. It happened at 07:13:46 UT on...

  • Article
  • Open Access
69 Citations
8,347 Views
25 Pages

5 July 2018

The detection and identification of impact craters on a planetary surface are crucially important for planetary studies and autonomous navigation. Crater detection refers to finding craters in a given image, whereas identification means to actually m...

  • Article
  • Open Access
7 Citations
3,600 Views
17 Pages

13 March 2022

Lunar craters and rilles are significant topographic features on the lunar surface that will play an essential role in future research on space energy resources and geological evolution. However, previous studies have shown low efficiency in detectin...

  • Technical Note
  • Open Access
3 Citations
3,145 Views
17 Pages

Accurate Mapping and Evaluation of Small Impact Craters within the Lunar Landing Area

  • Chen Yang,
  • Xinglong Wang,
  • Dandong Zhao,
  • Renchu Guan and
  • Haishi Zhao

14 June 2024

Impact craters, as the most distinct lunar structural unit and geological structure, are marked on the Moon’s surface. For over a decade, researchers have focused on identifying and exploring large- to medium-sized impact craters on the surface...

  • Article
  • Open Access
2 Citations
2,141 Views
33 Pages

YOLO-SCNet: A Framework for Enhanced Detection of Small Lunar Craters

  • Wei Zuo,
  • Xingye Gao,
  • Di Wu,
  • Jiaqian Liu,
  • Xingguo Zeng and
  • Chunlai Li

5 June 2025

The study of impact craters is crucial for understanding planetary evolution and geological processes, particularly small craters, which are key to reconstructing the lunar impact history. Detecting small craters, with diameters ranging from 0.2 to 2...

  • Article
  • Open Access
14 Citations
3,522 Views
23 Pages

19 October 2022

The detection and counting of lunar impact craters are crucial for the selection of detector landing sites and the estimation of the age of the Moon. However, traditional crater detection methods are based on machine learning and image processing tec...

  • Article
  • Open Access
14 Citations
9,807 Views
22 Pages

Morphological Features-Based Descriptive Index System for Lunar Impact Craters

  • Min Chen,
  • Mengling Lei,
  • Danyang Liu,
  • Yi Zhou,
  • Hao Zhao and
  • Kejian Qian

Lunar impact craters are important for studying lunar surface morphology because they are the most typical morphological units of the Moon. Impact crater descriptive indices can be used to describe morphological features and thus provide direct evide...

  • Article
  • Open Access
933 Views
25 Pages

From the Moon to Mercury: Release of Global Crater Catalogs Using Multimodal Deep Learning for Crater Detection and Morphometric Analysis

  • Riccardo La Grassa,
  • Cristina Re,
  • Elena Martellato,
  • Adriano Tullo,
  • Silvia Bertoli,
  • Gabriele Cremonese,
  • Natalia Amanda Vergara Sassarini,
  • Maddalena Faletti,
  • Valentina Galluzzi and
  • Lorenza Giacomini

25 September 2025

This study has compiled the first impact-crater dataset for Mercury with diameters greater than 400 m by a multimodal deep-learning pipeline. We present an enhanced deep learning framework for large-scale planetary crater detection, extending the YOL...

  • Article
  • Open Access
29 Citations
5,257 Views
22 Pages

YOLOLens: A Deep Learning Model Based on Super-Resolution to Enhance the Crater Detection of the Planetary Surfaces

  • Riccardo La Grassa,
  • Gabriele Cremonese,
  • Ignazio Gallo,
  • Cristina Re and
  • Elena Martellato

21 February 2023

The impact crater detection offers a great scientific contribution in analyzing the geological processes, morphologies and physical properties of the celestial bodies and plays a crucial role in potential future landing sites. The huge amount of crat...

  • Article
  • Open Access
745 Views
27 Pages

10 September 2025

Automatic crater detection is crucial for planetary science, but still faces several long-standing challenges. The morphological characteristics of craters exhibit significant variability; combined with complex lighting conditions, this makes feature...

  • Article
  • Open Access
1 Citations
2,488 Views
15 Pages

10 June 2022

The identification of impact craters on the Moon and other planetary bodies is of great significance to studying and constraining the dynamical process and evolution of the Solar System. Traditionally, this has been performed through the visual exami...

  • Article
  • Open Access
12 Citations
3,504 Views
13 Pages

Hospitalization Rates for Respiratory Diseases After L’Aquila Earthquake

  • Francesco D’Aloisio,
  • Pierpaolo Vittorini,
  • Anna Rita Giuliani,
  • Maria Scatigna,
  • Jacopo Del Papa,
  • Mario Muselli,
  • Giorgio Baccari and
  • Leila Fabiani

The study aims to investigate the impact of the earthquake on public health, in terms of hospitalizations for respiratory diseases in the Abruzzo region, focusing on the area damaged by the earthquake “Crater”. We collected data of hospit...

  • Article
  • Open Access
44 Citations
6,478 Views
18 Pages

An Effective Lunar Crater Recognition Algorithm Based on Convolutional Neural Network

  • Song Wang,
  • Zizhu Fan,
  • Zhengming Li,
  • Hong Zhang and
  • Chao Wei

20 August 2020

The lunar crater recognition plays a key role in lunar exploration. Traditional crater recognition methods are mainly based on the human observation that is usually combined with classical machine learning methods. These methods have some drawbacks,...

  • Article
  • Open Access
2 Citations
2,120 Views
18 Pages

1 April 2024

Panax notoginseng (P. notoginseng) is a valuable herbal medicine, as well as a dietary food supplement known for its satisfactory clinical efficacy in alleviating blood stasis, reducing swelling, and relieving pain. However, the ability of P. notogin...

  • Feature Paper
  • Article
  • Open Access
39 Citations
6,166 Views
26 Pages

Overflows and Pyroclastic Density Currents in March-April 2020 at Stromboli Volcano Detected by Remote Sensing and Seismic Monitoring Data

  • Sonia Calvari,
  • Federico Di Traglia,
  • Gaetana Ganci,
  • Flora Giudicepietro,
  • Giovanni Macedonio,
  • Annalisa Cappello,
  • Teresa Nolesini,
  • Emilio Pecora,
  • Giuseppe Bilotta and
  • Veronica Centorrino
  • + 3 authors

16 September 2020

Between 28 March and 1 April 2020, Stromboli volcano erupted, with overflows from the NE crater rim spreading along the barren Sciara del Fuoco slope and reaching the sea along the NW coast of the island. Poor weather conditions did not allow a detai...

  • Article
  • Open Access
2 Citations
2,683 Views
19 Pages

Object-Oriented Remote Sensing Approaches for the Detection of Terrestrial Impact Craters as a Reconnaissance Survey

  • Habimana Emmanuel,
  • Jaehyung Yu,
  • Lei Wang,
  • Sung Hi Choi and
  • Digne Edmond Rwabuhungu Rwatangabo

31 July 2023

The purpose of this study is to employ a remote sensing reconnaissance survey based on optimal segmentation parameters and an object-oriented random forest approach to the identification of possible terrestrial impact craters from the global 30-m res...

  • Article
  • Open Access
16 Citations
3,806 Views
17 Pages

29 January 2022

Lunar crater detection plays an important role in lunar exploration, while machine learning (ML) exhibits promising advantages in the field. However, previous ML works almost all used a single type of lunar map, such as an elevation map (DEM) or orth...

  • Article
  • Open Access
28 Citations
11,651 Views
20 Pages

Searching for Viking Age Fortresses with Automatic Landscape Classification and Feature Detection

  • David Stott,
  • Søren Munch Kristiansen and
  • Søren Michael Sindbæk

12 August 2019

Across the world, cultural heritage is eradicated at an unprecedented rate by development, agriculture, and natural erosion. Remote sensing using airborne and satellite sensors is an essential tool for rapidly investigating human traces over large su...

  • Article
  • Open Access
2,652 Views
21 Pages

Time Series Analysis Methods and Detectability Factors for Ground-Based Imaging of the LCROSS Impact Plume

  • Paul D. Strycker,
  • Nancy J. Chanover,
  • Ruth L. Temme,
  • Jonathan M. Schotte,
  • Payton L. Mueller and
  • Emily L. Karls

21 December 2022

On 9 October 2009, multiple telescopes were used in a coordinated international observing campaign to acquire ground-based time series imaging to monitor the evolution of the impact plume from NASA’s Lunar CRater Observation and Sensing Satelli...

  • Article
  • Open Access
1,561 Views
21 Pages

Impact cratering determined by collisions with meteorites and asteroids is considered one of the main natural processes in the Solar System, modifying the planets and their satellites surface during time. The Earth includes in its impact record a sma...

  • Article
  • Open Access
7 Citations
5,722 Views
16 Pages

Plasma Spectroscopy of Various Types of Gypsum: An Ideal Terrestrial Analogue

  • Abhishek K. Rai,
  • Jayanta K. Pati,
  • Christian G. Parigger and
  • Awadhesh K. Rai

21 July 2019

The first detection of gypsum (CaSO4·2H2O) by the Mars Science Laboratory (MSL) rover Curiosity in the Gale Crater, Mars created a profound impact on planetary science and exploration. The unique capability of plasma spectroscopy, which involv...

  • Review
  • Open Access
6 Citations
10,865 Views
22 Pages

5 July 2010

On Earth, the deep subsurface biosphere of both the oceanic and the continental crust is well known for surviving harsh conditions and environments characterized by high temperatures, high pressures, extreme pHs, and the absence of sunlight. The micr...

  • Feature Paper
  • Article
  • Open Access
25 Citations
6,105 Views
20 Pages

Characterizing Hypervelocity Impact (HVI)-Induced Pitting Damage Using Active Guided Ultrasonic Waves: From Linear to Nonlinear

  • Menglong Liu,
  • Kai Wang,
  • Cliff J. Lissenden,
  • Qiang Wang,
  • Qingming Zhang,
  • Renrong Long,
  • Zhongqing Su and
  • Fangsen Cui

18 May 2017

Hypervelocity impact (HVI), ubiquitous in low Earth orbit with an impacting velocity in excess of 1 km/s, poses an immense threat to the safety of orbiting spacecraft. Upon penetration of the outer shielding layer of a typical two-layer shielding sys...

  • Article
  • Open Access
10 Citations
4,428 Views
12 Pages

TiN/NbN Nanoscale Multilayer Coatings Deposited by High Power Impulse Magnetron Sputtering to Protect Medical-Grade CoCrMo Alloys

  • Arunprabhu Arunachalam Sugumaran,
  • Yashodhan Purandare,
  • Krishnanand Shukla,
  • Imran Khan,
  • Arutiun Ehiasarian and
  • Papken Hovsepian

20 July 2021

This study describes the performance of nanoscale multilayer TiN/NbN coatings deposited on CoCrMo medical-grade alloys by utilising novel mixed high power impulse magnetron sputtering (HIPIMS) and direct current unbalanced magnetron sputtering (UBM)...

  • Article
  • Open Access
3 Citations
1,791 Views
19 Pages

5 August 2024

Studying efficient and accurate soil heavy-metal detection technology is of great significance to establishing a modern system for monitoring soil pollution, early warning and risk assessment, which contributes to the continuous improvement of soil q...

  • Article
  • Open Access
17 Citations
6,906 Views
21 Pages

First Macro-Colonizers and Survivors Around Tagoro Submarine Volcano, Canary Islands, Spain

  • Ana Sotomayor-García,
  • José L. Rueda,
  • Olga Sánchez-Guillamón,
  • Javier Urra,
  • Juan T. Vázquez,
  • Desirée Palomino,
  • Luis M. Fernández-Salas,
  • Nieves López-González,
  • Marcos González-Porto and
  • J. Magdalena Santana-Casiano
  • + 3 authors

Tagoro, the youngest submarine volcano of the Canary Islands, erupted in 2011 South of El Hierro Island. Pre-existing sea floor and inhabiting biological communities were buried by the newly erupted material, promoting the appearance of new habitats....

  • Article
  • Open Access
35 Citations
3,919 Views
20 Pages

Physicomechanical Nature of Acoustic Emission Preceding Wire Breakage during Wire Electrical Discharge Machining (WEDM) of Advanced Cutting Tool Materials

  • Sergey N. Grigoriev,
  • Petr M. Pivkin,
  • Mikhail P. Kozochkin,
  • Marina A. Volosova,
  • Anna A. Okunkova,
  • Artur N. Porvatov,
  • Alexander A. Zelensky and
  • Alexey B. Nadykto

19 November 2021

The field of applied wire electrical discharge machining (WEDM) is rapidly expanding due to rapidly increasing demand for parts made of hard-to-machine materials. Hard alloys composed of WC, TiC and Co are advanced cutting materials widely used in in...