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pro vyhledávání: '"feature tracker"'
Akademický článek
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Autor:
Hansen, Michael R.
Publikováno v:
All Graduate Theses and Dissertations
With NASA awarding numerous contracts to build commercial lunar payload spacecraft and human lunar landers, the need for high precision navigation has increased. Traditional inertial navigation alone is not sufficient to autonomously land a vehicle o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e18abb029d9d2ed448b537e64f30b10b
Publikováno v:
Electronics
Volume 9
Issue 10
Electronics, Vol 9, Iss 1591, p 1591 (2020)
Volume 9
Issue 10
Electronics, Vol 9, Iss 1591, p 1591 (2020)
In this paper, we propose a vision-based feature tracker for the autonomous hovering of an unmanned aerial vehicle (UAV) and present an area-efficient hardware architecture for its integration into a flight control system-on-chip, which is essential
Publikováno v:
IEEE Transactions on Cybernetics. 48:793-806
Feature selection is an important approach for reducing the dimension of high-dimensional data. In recent years, many feature selection algorithms have been proposed, but most of them only exploit information from the data space. They often neglect u
Akademický článek
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Autor:
Shilin Zhou, Yi Hou
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:395-406
In this paper, a robust point correspondence algorithm is proposed to address the problems with SIFT-like methods for the optical satellite image registration. SIFT-like methods involve two issues that are rarely noticed: non-orientation selectivity
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 169:1-11
This study considers the insufficiency of traditional monitoring methods to eliminate dynamics, and proposes a novel online feature reordering- and feature selection-based slow feature analysis (SFA) algorithm. The SFA algorithm explores the process
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 14:1680-1684
Although many feature-based registration methods have been proposed, automatic image registration is still a challenging task due to the influence of various conditions and uncertain difficulties for remote sensing images. In this letter, a novel ima
Publikováno v:
IEEE Transactions on Industrial Informatics. 13:2350-2359
In the field of big data applications, image information is widely used. The value density of information utilization in big data is very low, and how to extract useful information quickly is very important. So we should transform the unstructured im