Recognition and Detection of Impact Craters from Eo Products

نویسندگان

  • L. Bruzzone
  • L. Lizzi
  • P. G. Marchetti
  • J. Earl
  • M. Milnes
چکیده

Impact craters represent a novel and fundamental field of research in Solar System studies. The quest for Earth impact craters entails the exploitation of Earth Observation products and of their processing for the identification of crater features, their detection and possible recognition. In the past decades, impacts by extraterrestrial bodies were regarded as an interesting but certainly not important phenomenon in the spectrum of geological processes affecting the dynamic evolution of the Earth. On the contrary, at the present, the attention devoted to this phenomenon is significantly increased, thanks to the important role played by planetary exploration. According to planetary scientists [1], impact cratering was a dominant geological process during the growth of the planetary bodies of the Solar System. The emerging of this kind of view of planets as geological objects, places the search for unknown impact craters as a basic element for the study of the evolution of the planets, and in particular of the Earth. In this context, this paper addresses the issue of recognition and detection of impact craters on the Earth by using Earth Observation products (i.e. remote sensing images). In particular, approaches based on the Hough Transform and on the Radial Consistency measure are considered and compared. In addition, novel techniques (based on the use of the K-means algorithm and of stochastic processes) for the reduction of the computational load associated with the considered approaches are described. Preliminary experimental results are reported that point out advantages and disadvantages of the considered methods.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic detection of impact craters on Mars using a modified adaboosting method

The accurate recognition of impact craters is important to analyze and understand the relative dating of Martian surface. Since manually identifying small craters in a deluge of high-resolution Martian images is a tremendous task, a robust automatic detection algorithm of the crater is needed, but subject to lots of uncertainties and low successful detection rates. In this paper, a modified ada...

متن کامل

Antifungal Activities of Cymbopogon citratus Essential Oil against Aspergillus Species Isolated from Fermented Fish Products of Southern Benin

Background: In Benin Republic, the conservation of fermented fishes for a long time is difficult due to the contamination of fungi, which lead to its rapid degradation. This experiment was conducted to evaluate the effect of Cymbopogon citratus Essential Oil (EO) against Aspergillus species isolated from fermented fish samples. Methods: Gas chromatography-mass spectrometry was used to determin...

متن کامل

African meteorite impact craters: characteristics and geological importance

Abslzact Geologists have realized that impact cratering is the single most important surface-forming and modifying process for the other terrestrial planets and the satellites of all planets. The recognition of impact cratering as an important geological process on earth has been rather slow. However, geologists are now realizing that giant impacts have had a determining influence on the geolog...

متن کامل

Using the Hough Transform to Detect Circular Forms in Satellite Imagery

The objective of this work is to identify geological circular forms, impact and volcano craters using satellite images. The recognition of objects (circular forms) is the last step in a processing chain which can be described in four phases: image processing, pattern detection, pattern recognition, and identification of the targets (models). The work presents the detection of circular forms in ...

متن کامل

A Boosting Algorithm for Crater Recognition

This paper applies the boosting classifier proposed by Viola and Jones to the detection of impact craters on the surface of Mars. The performance of the boosting algorithm is comparable to the best algorithms described in the literature.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004