Results 71 to 80 of about 1,992 (180)

A Hierarchical unsupervised method for power line classification from airborne LiDAR data

International Journal of Digital Earth, 2019
The automatic classification of power lines from airborne light detection and ranging (LiDAR) data is a crucial task for power supply management. The methods for power line classification can be either supervised or unsupervised. Supervised methods might
Yanjun Wang, Qi Chen, Lin Liu, Kai Li
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Analysis of image versus position, scale and direction reveals pattern texture anisotropy

Frontiers in Physics, 2015
Pattern heterogeneities and anisotropies often carry significant physical information. We provide a toolbox which: (i) cumulates analysis in terms of position, direction and scale; (ii) is as general as possible; (iii) is simple and fast to understand ...
Roland eLehoucq, Jerome eWeiss, Berengere eDubrulle, Axelle eAmon, Antoine eLe Bouil, Jerome eCrassous, David eAmitrano, Francois eGraner   +7 more
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Microscopic Object Recognition and Localization Based on Multi-Feature Fusion for In-Situ Measurement In Vivo

Algorithms, 2019
Microscopic object recognition and analysis is very important in micromanipulation. Micromanipulation has been extensively used in many fields, e.g., micro-assembly operation, microsurgery, agriculture, and biological research.
Shi-Xian Yan, Peng-Fei Zhao, Xin-Yu Gao, Qiao Zhou, Jin-Hai Li, Jie-Peng Yao, Zhi-Qiang Chai, Yang Yue, Zhong-Yi Wang, Lan Huang   +9 more
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A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images

Journal of Electrical and Computer Engineering, 2016
Iris segmentation in the iris recognition systems is a challenging task under noncooperative environments. The iris segmentation is a process of detecting the pupil, iris’s outer boundary, and eyelids in the iris image.
Vineet Kumar, Abhijit Asati, Anu Gupta
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The DECam Ecliptic Exploration Project (DEEP). IV. Constraints on the Shape Distribution of Bright Trans-Neptunian Objects

The Astronomical Journal
We present the methods and results from the discovery and photometric measurement of 26 bright VR > 24 trans-Neptunian objects (TNOs) during the first year (2019–20) of the DECam Ecliptic Exploration Project (DEEP).
Ryder Strauss, David E. Trilling, Pedro H. Bernardinelli, Christiano Beach, William J. Oldroyd, Scott S. Sheppard, Hilke E. Schlichting, David W. Gerdes, Cesar Fuentes, Matthew J. Holman, Mario Jurić, Hsing Wen Lin, Larissa Markwardt, Andrew McNeill, Michael Mommert, Kevin J. Napier, Matthew J. Payne, Darin Ragozzine, Andrew S. Rivkin, Hayden Smotherman, Chadwick A. Trujillo, Fred C. Adams, Colin Orion Chandler   +22 more
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Shape adaptive, robust iris feature extraction from noisy iris images

Journal of Medical Signals and Sensors, 2013
In the current iris recognition systems, noise removing step is only used to detect noisy parts of the iris region and features extracted from there will be excluded in matching step.
Hamed Ghodrati, Mohammad Javad Dehghani, Habibolah Danyali   +2 more
doaj  

An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds

Remote Sensing
Three-dimensional laser scanning technology has increasingly gained favor among professionals in tunnel monitoring. A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and ...
Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng   +5 more
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Fast horizon detection in maritime images using region-of-interest

International Journal of Distributed Sensor Networks, 2018
In this article, we propose a fast method for detecting the horizon line in maritime scenarios by combining a multi-scale approach and region-of-interest detection.
Chi Yoon Jeong, Hyun S Yang, KyeongDeok Moon   +2 more
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A positioning recognition method for SF6 pressure pointer meter

Diance yu yibiao
For SF6 pressure pointer meter with complex dial, internal mechanical components and short pointer, there is still a lack of a method of meter location identification with low computational cost and robustness and accuracy, which is suitable for poor ...
ZHAO Lina, ZHAO Lijuan, NING Zida, ZANG Yulai, XU Zhiniu   +4 more
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Research on the Identification of Rock Mass Structural Planes and Extraction of Dominant Orientations Based on 3D Point Cloud

Applied Sciences
The different spatial distribution forms of rock mass structural planes create weak zones in the rock mass, which is also a key factor in controlling rock mass stability.
Jiarui Zhu, Yonghua Xia, Bin Wang, Ziliang Yang, Kaihua Yang   +4 more
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