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SAR image enhancement for small target detection

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003
The paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance ...
Jingxin Zhang 0001   +2 more
openaire   +2 more sources

SVD-based scattered small targets detection

2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014
Due to lack of sufficient shape and strength information about the targets present in the entire image obtained in a wide range of scenarios over a long distance, it is very hard to detect these targets using the existing detection methods. In order to solve this problem, this paper proposes a scattered small target detection algorithm based on ...
Jingli Gao   +2 more
openaire   +1 more source

Small Target Detection Improvement in Hyperspectral Image

2013
Target detection is an important issue in the HyperSpectral Image (HSI) processing field. However, current spectral-identification-based target detection algorithms are sensitive to the noise and most denoising algorithms cannot preserve small targets, therefore it is necessary to design a robust detection algorithm that can preserve small targets ...
Lin, Tao   +2 more
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Infrared small target detection with compressive measurements

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
A novel scheme for infrared small target detection in compressive domain is presented. First, the original image is separated into two components, i.e., the target and the background. Next, we compress them individually. Finally, the compressed target image is utilized to construct the corresponding compressive detector to perform detection in ...
Lijuan Xie   +3 more
openaire   +1 more source

Dim and small target detection based on their living environment

Digital Signal Processing, 2022
Abstract Dim and small targets detection in a cluttered background requires high discrimination features to separate them from the noisy environment. Previous local contrast measure based methods lack scale invariance and also cannot fully learn the features of target and target's living environment.
Shugang Zhou, Zhisheng Gao, Chunzhi Xie
openaire   +1 more source

Chaotic detection of small target in sea clutter

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
A new method based on chaos and neural network theory for small target detection in sea clutter is presented. The authors present the signal model. They then describe a neural network trained with the least-mean-square (LMS) algorithm for the dynamic reconstruction of sea clutter.
Bob X. Li, Simon Haykin 0001
openaire   +2 more sources

An Adaptation of Cnn for Small Target Detection in the Infrared

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Due to the low signal to noise ratio and limited spatial resolution, small target detection in an infrared image is a challenging task. Existing methods often have high false alarm rates and low probabilities of detection when infrared small targets submerge in the background clutter.
Dong Zhao 0005   +3 more
openaire   +2 more sources

A Feature-Based Small Target Detection System

2014
Existing small target detection systems generally use the difference image between a predicted background image and an original image. This method has two disadvantages. First, to predict the background image, the size of the structural element has to be carefully selected considering the size of small targets. Second, because of blurring, clutter such
Jong-Ho Kim   +3 more
openaire   +1 more source

Small target detection using an optimization-based filter

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely to cause false alarms. This paper proposes a novel method using an optimization-based filter to detect infrared small target in heavy ...
Kai Xie   +5 more
openaire   +2 more sources

Dim2Clear Network for Infrared Small Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2023
Mingjin Zhang   +5 more
openaire   +2 more sources

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