Asteroid engineering: The state-of-the-art of Near-Earth Asteroids science and technology

Anthony, Niklas; Emami, M. Reza

doi:10.1016/j.paerosci.2018.05.001

Cited by 49 publications

(23 citation statements)

References 70 publications

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“…Although it is true that larger objects will unlikely reach Earth's orbit, a potential impactor may dramatically affect the life and the climate in our planet. For instance, a 10 km wide impactor led to the so-called Cretaceous-Paleocene extinction that happened 64 million years ago [2,3]. In 1908, the fragmentation at a low altitude (5-10 km) of an asteroid with an estimated diameter d ∈ [30,50] m destroyed around 2000 km 2 of woodland [4], what was known as the Tunguska event.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, in 2013, a bolide with an estimated weight of 12000 tons and an estimated diameter of 19 m entered Earth's atmosphere at a relative velocity of 19 km/s. e object broke up at an altitude of 30 km, thus injuring more than 1500 people [2,5,6]. e latter are clear examples of fatal consequences that impact of these kinds of objects with the Earth may result in.…”

Section: Introductionmentioning

confidence: 99%

“…Short period comets with orbital periods less than 200 years are known as near-Earth comets (NECs) whose orbits lie far away from the Earth. In this way, researchers are mainly focused on the tracking of the near-Earth asteroids (NEAs) [2,13].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Near-Earth Asteroid Deflection Techniques via Spherical Fuzzy Sets

Fernández–Martínez¹,

Sánchez-Lozano²

2021

Advances in Astronomy

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Extensions of fuzzy sets to broader contexts constitute one of the leading areas of research in the context of problems in artificial intelligence. Their aim is to address decision-making problems in the real world whenever obtaining accurate and sufficient data is not a straightforward task. In this way, spherical fuzzy sets were recently introduced as a step beyond to modelize such problems more precisely on the basis of the human nature, thus expanding the space of membership levels, which are defined under imprecise circumstances. The main goal in this study is to apply the spherical fuzzy set version of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a well-established multicriteria decision-making approach, in the context of planetary defense. As of the extraction of knowledge from a group of experts in the field of near-Earth asteroids, they rated four deflection technologies of asteroids (kinetic impactor, ion beam deflection, enhanced gravity tractor, and laser ablation) that had been previously assessed by means of the classical theory of fuzzy series. This way, a comparative study was carried out whose most significant results are the kinetic impactor being the most suitable alternative and the spherical fuzzy set version of the TOPSIS approach behaves more sensitively than the TOPSIS procedure for triangular fuzzy sets with regard to the information provided by our group of experts.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of Near-Earth Asteroid Deflection Techniques via Spherical Fuzzy Sets

Fernández–Martínez¹,

Sánchez-Lozano²

2021

Advances in Astronomy

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show abstract

“…To detect asteroids and comets, as moving targets, several algorithms are applied. These algorithms can be categorized as three main approaches as the basic technique, shift and add technique, and streak detection technique (Anthony, Emami, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…As a result, this process is computationally intensive and time consuming (Scott, Thorsteinson, 2018). Moreover, this technique is highly dependant on the brightness, size, speed, and shape of the trajectory (whether a linear or non-linear track) of the moving target in the images (Parker, Kavelaars, 2010, Anthony, Emami, 2018.…”

Section: Introductionmentioning

confidence: 99%

A Computer Vision Approach for Detection of Asteroids/Comets in Space Satellite Images

Yekkehkhany

Shokri

Zadeh

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. There are many satellites orbiting around the earth capturing huge amounts of images from astronomical objects and sending them to ground stations to be stored and analyzed. This results in an increasing demand for processing and analyzing images with autonomous algorithms. NEOSSat is one of the Canadian satellites that investigates the outer space to discover new comets/asteroids in our solar system. In this paper, we proposed a method based on computer vision techniques to detect the moving objects in NEOSSat images autonomously and also estimate their path. Our method is able to detect the comet/asteroids that are only %2 different in brightness with respect to the background. Moreover, it is not limited to the linear trajectory of the object and can detect objects following a curved path. This method does not depend on the length of the trajectory as well, detecting trajectories as short as 19 pixels. Our method is computationally efficient and can be run on a laptop. We also designed a graphical user interface for our software, encouraging public usage. The proposed software won the first place of the Canadian Space Agency’s Space Apps Challenge 2019 nationwide.

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Cooperative Navigation Method for Small Body Landing of Multiple Landers

Chen

Wang

2023

Lecture Notes in Electrical Engineering

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Asteroid engineering: The state-of-the-art of Near-Earth Asteroids science and technology

Cited by 49 publications

References 70 publications

Assessment of Near-Earth Asteroid Deflection Techniques via Spherical Fuzzy Sets

Assessment of Near-Earth Asteroid Deflection Techniques via Spherical Fuzzy Sets

A Computer Vision Approach for Detection of Asteroids/Comets in Space Satellite Images

Cooperative Navigation Method for Small Body Landing of Multiple Landers

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