Improved YOLOv3 model based on ResNeXt for target detection

In previous studies the authors have shown that the enhanced detectability exhibited by stereoscopically viewed targets can be accounted for by assuming that the binocular system can linearly summate the left-eye and right-eye views of a visual scene. A model based upon this assumption leads to a variety of predictions concerning the detectability of noise-embedded targets. One such prediction is that the detectability of a target in these conditions is highly orientation specific. A test is reported of such a prediction that can be regarded as counterintuitive: namely, that the detectability, under stereoscopic viewing conditions, of a patch of sinusoidal grating masked by Gaussian noise should change substantially when the grating, oriented at 45°, is rotated until its orientation becomes −45°. The implications of these results for an understanding of the phenomenon of camouflage breaking are discussed.

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Hidden Markov Model-Based Sense-Through-Foliage Target Detection Approach

Lecture Notes in Electrical Engineering - Communications, Signal Processing, and Systems ◽

10.1007/978-981-13-6504-1_84 ◽

2019 ◽

pp. 695-701

Author(s):

Ganlin Zhao ◽

Qilian Liang ◽

Tariq S. Durrani

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Target Detection ◽

Hidden Markov ◽

Model Based ◽

Detection Approach

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A satellite image target detection model based on an improved single-stage target detection network

2019 Chinese Automation Congress (CAC) ◽

10.1109/cac48633.2019.8997495 ◽

2019 ◽

Author(s):

Runwu Liu ◽

Tian Wang ◽

Yi Zhou ◽

Chuanyun Wang ◽

Guangcun Shan ◽

...

Keyword(s):

Target Detection ◽

Satellite Image ◽

Single Stage ◽

Detection Model ◽

Model Based

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Adaptive model-based 3-D target detection: Part II - statistical behavior

10.1117/12.139368 ◽

1992 ◽

Author(s):

Mac L. Hartless ◽

Hong Wang

Keyword(s):

Target Detection ◽

Adaptive Model ◽

Model Based ◽

Statistical Behavior

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On the novel use of model-based decomposition in SAR polarimetry for target detection on the sea

Remote Sensing Letters ◽

10.1080/2150704x.2013.804220 ◽

2013 ◽

Vol 4 (9) ◽

pp. 843-852 ◽

Cited By ~ 18

Author(s):

Mitsunobu Sugimoto ◽

Kazuo Ouchi ◽

Yasuhiro Nakamura

Keyword(s):

Target Detection ◽

The Novel ◽

Model Based

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Multi source asynchronous information fusion technology based on cross prompts and its application

MATEC Web of Conferences ◽

10.1051/matecconf/201824603021 ◽

2018 ◽

Vol 246 ◽

pp. 03021

Author(s):

Wei Daozhi ◽

Huang Da ◽

Huang Shucai

Keyword(s):

Target Detection ◽

Information Fusion ◽

High Tech ◽

Structure Model ◽

Fusion Technology ◽

Fuzzy Decision ◽

Fusion Model ◽

Model Based ◽

Detection And Tracking ◽

Attack And Defense

Several modern local high-tech wars have shown that the development of war is determined by the precise strike weapons at both ends of attack and defense. In this paper, the urgent requirement of defense ballistic missile target is taken as traction, and the heterogeneous multi-sensor cross-prompt technology is used as support to study the heterogeneous multi-sensor cross-prompt and its application in target detection. On the basis of fully studying the basic theory of heterogeneous multi-sensor cross-prompting, a cross-prompting network structure model based on typical anti-missile combat mission driving and a data fusion model based on asynchronous information are established, and a multi-sensor cross-prompting method based on fuzzy decision is designed. The model and method proposed in this paper are applied to target detection and tracking, and the model and method involved in this paper are verified by simulation.

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Research on the Passive Detection Model Based on 3D-HBF and FSVDD for Underwater High-Speed Small Targets and its Application

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.317-319.1282 ◽

2011 ◽

Vol 317-319 ◽

pp. 1282-1288

Author(s):

Qiao Hu ◽

Bao An Hao ◽

Hong Yi ◽

Yun Chuan Yang

Keyword(s):

Target Detection ◽

High Speed ◽

Beam Width ◽

Target Strength ◽

Support Vector ◽

Support Vector Data Description ◽

Passive Detection ◽

Detection Model ◽

Model Based ◽

Small Targets

Due to the high-speed, short-time countermeasure and small target strength of underwater high-speed small targets (UHSST), it is difficult to use a traditional method to accurately detect UHSST. So a novel passive detection model based on three-dimensional hyperbeam forming (3D-HBF) and fuzzy support vector data description (FSVDD) is proposed, where these advantages of beam width reduction and side lobe suppression for 3D-HBF and excellent target-detection capability for FSVDD are combined. The model consists of two stages. In the first stage, 3D-HBF is carried out to obtain the beam respond vectors (BSV) from original underwater acoustic signals. In the second stage, the BSV are input into the detector based on FSVDD to detect and locate the underwater targets intelligently. This model is applied to target detection of UHSST, and these testing results show that the proposed model has better detection performance than the conventional beam forming method, with a high detection success rate and localization capability.

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