Results 21 to 30 of about 915,432 (276)

Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Small target detection is an arduous mission in the infrared search and tracking system, especially when the target signal is disturbed by high-intensity background clutters.
Yongsong Li   +3 more
doaj   +1 more source

Image Enhancement-Based Detection with Small Infrared Targets

open access: yesRemote Sensing, 2022
Today, target detection has an indispensable application in various fields. Infrared small-target detection, as a branch of target detection, can improve the perception capability of autonomous systems, and it has good application prospects in infrared ...
Shuai Liu, Pengfei Chen, Marcin Woźniak
doaj   +1 more source

Joint Constraint Based on γ-Norm and TV-Sparse for Infrared Dim Small Target Detection [PDF]

open access: yesHangkong bingqi, 2022
Aiming at the problem that the ability of infrared dim small target detection algorithm based on traditional infrared patchimage (IPI) model to suppress background clutter is not strong, a new detection model (γ-TSIPI) based on γ-norm ...
Wang Xiaowen, Li Qiao, Xue Wei, Zhong Ping
doaj   +1 more source

COMPARING IMAGE-BASED METHODS FOR ASSESSING VISUAL CLUTTER IN GENERALIZED MAPS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Map generalization abstracts and simplifies geographic information to derive maps at smaller scales. The automation of map generalization requires techniques to evaluate the global quality of a generalized map. The quality and legibility of a generalized
G. Touya   +3 more
doaj   +1 more source

Optimized edge-based grasping method for a cluttered environment

open access: yesCoRR, 2018
This paper looks into the problem of grasping region localization along with suitable pose from a cluttered environment without any a priori knowledge of the object geometry. This end-to-end method detects the handles from a single frame of input sensor.
Olyvia Kundu, Swagat Kumar
openaire   +2 more sources

EOD Edge Sampling for Visualizing Dynamic Network via Massive Sequence View

open access: yesIEEE Access, 2018
Dynamic network visualization is crucial to understand network evolving behavior. Massive sequence view (MSV) is a classic technique for visualizing dynamic networks and provides users with a fine-grained presentation of time-varying communication trend ...
Ying Zhao   +7 more
doaj   +1 more source

Object tracking in cluttered background based on optical flow and edges

open access: yesProceedings of 13th International Conference on Pattern Recognition, 1996
This paper describes a method of determining contours of moving objects in a cluttered scene by integrating optical flow and edges. If the motion of an object is similar to that of the background, the contour is not determined only by optical flow. If the background of a scene is cluttered, the contour is not determined only from edges because many ...
Yasushi Mae   +3 more
openaire   +3 more sources

Comparative Study on Chaos Identification of Ionospheric Clutter From HFSWR

open access: yesIEEE Access, 2019
In addition to target echoes, high frequency surface wave radar (HFSWR) receives sea and ionospheric clutter. Among these clutters, the ionospheric clutter is dominant and significantly affects the detection performance of HFSWR, particularly when the ...
Lyu Zhe   +4 more
doaj   +1 more source

Knowledge-aided Bayesian covariance matrix estimation in compound-Gaussian clutter [PDF]

open access: yes, 2010
We address the problem of estimating a covariance matrix R using K samples zk whose covariance matrices are kR, where k are random variables. This problem naturally arises in radar applications in the case of compound-Gaussian clutter. In contrast to the
Bandiera, Francesco   +6 more
core   +1 more source

Modified Anderson-Darling Test-Based Target Detector in Non-Homogenous Environments

open access: yesSensors, 2014
A constant false alarm rate (CFAR) target detector in non-homogenous backgrounds is proposed. Based on K-sample Anderson-Darling (AD) tests, the method re-arranges the reference cells by merging homogenous sub-blocks surrounding the cell under test (CUT)
Yang Li   +3 more
doaj   +1 more source

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