Results 11 to 20 of about 74,896 (309)

Multi-sensor remote sensing image alignment based on fast algorithms

open access: yesJournal of Intelligent Systems, 2023
Remote sensing image technology to the ground has important guiding significance in disaster assessment and emergency rescue deployment. In order to realize the fast automatic registration of multi-sensor remote sensing images, the remote sensing image ...
Shu Tao
doaj   +1 more source

Recent developments and applications of selected ion flow tube mass spectrometry (SIFT‐MS)

open access: yesMass spectrometry reviews (Print), 2023
Selected ion flow tube mass spectrometry (SIFT‐MS) is now recognized as the most versatile analytical technique for the identification and quantification of trace gases down to the parts‐per‐trillion by volume, pptv, range. This statement is supported by
David R. Smith   +4 more
semanticscholar   +1 more source

Sorting Intolerant from Tolerant and PolyPhen-2 Algorithms: A Variation in Exon 14 of ATP7B Gene among 4 West Iraqi Families with Wilson’s Disease [PDF]

open access: yesAl-Anbar Medical Journal, 2023
Background: Wilson disease (WD) is a genetic disorder (autosomal recessive) that affects copper metabolism. A favorable prognosis for WD can be achieved with early diagnosis and treatment.
Omar Qahtan
doaj   +1 more source

Sort and Sift, Think and Shift: Let the Data Be Your Guide An Applied Approach to Working With, Learning From, and Privileging Qualitative Data

open access: yesThe Qualitative Report, 2021
The Sort and Sift, Think and Shift qualitative data analysis approach is an iterative process where analysts dive into data to understand its content, dimensions, and properties, and then step back to assess what they have learned and to determine next ...
Raymond C. Maietta   +4 more
semanticscholar   +1 more source

SIFT Matching by Context Exposed [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
This paper investigates how to step up local image descriptor matching by exploiting matching context information. Two main contexts are identified, originated respectively from the descriptor space and from the keypoint space.
F. Bellavia
semanticscholar   +1 more source

Performance Evaluation of Feature Extraction Algorithms for Vehicle Shape Classification

open access: yesU.Porto Journal of Engineering, 2022
Vehicle classification is a classic application of automotive image processing that is necessary for a variety of modern vehicle safety and comfort features.
Sunitha Patel, Srinath S
doaj   +1 more source

Research on Image Matching of Improved SIFT Algorithm Based on Stability Factor and Feature Descriptor Simplification

open access: yesApplied Sciences, 2022
In view of the problems of long matching time and the high-dimension and high-matching rate errors of traditional scale-invariant feature transformation (SIFT) feature descriptors, this paper proposes an improved SIFT algorithm with an added stability ...
Liang Tang   +3 more
semanticscholar   +1 more source

Indoor Place Recognition and Localization Using Histogram of Oriented Gradient with Deep Learning

open access: yesZanco Journal of Pure and Applied Sciences, 2020
Indoor place recognition is a crucial and challenging field of computer science. It is widely used in robotics and computer vision for various applications.
zina khaleel jalal   +2 more
doaj   +1 more source

SIFT Meets CNN: A Decade Survey of Instance Retrieval [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
In the early days, content-based image retrieval (CBIR) was studied with global features. Since 2003, image retrieval based on local descriptors (de facto SIFT) has been extensively studied for over a decade due to the advantage of SIFT in dealing with ...
Liang Zheng, Yi Yang, Q. Tian
semanticscholar   +1 more source

SIFT-ONN: SIFT Feature Detection Algorithm Employing ONNs for Edge Detection

open access: yesNeuro-Inspired Computational Elements Conference, 2023
Mobile robot navigation tasks can be applied in various domains, such as in space, underwater, and transportation industries, among others. In navigation, robots analyze their environment from sensors and navigate safely up to target points by avoiding obstacles. Numerous methods exist to perform each navigation task.
Madeleine Abernot   +3 more
openaire   +2 more sources

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