Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure
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
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Image Enhancement-Based Detection with Small Infrared Targets
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]
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
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COMPARING IMAGE-BASED METHODS FOR ASSESSING VISUAL CLUTTER IN GENERALIZED MAPS [PDF]
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
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Optimized edge-based grasping method for a cluttered environment
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
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
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
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
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Knowledge-aided Bayesian covariance matrix estimation in compound-Gaussian clutter [PDF]
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
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

