[HTML][HTML] A suspicious multi-object detection and recognition method for millimeter wave SAR security inspection images based on multi-path extraction network

M Yuan, Q Zhang, Y Li, Y Yan, Y Zhu - Remote sensing, 2021 - mdpi.com
There are several major challenges in detecting and recognizing multiple hidden objects
from millimeter wave SAR security inspection images: inconsistent clarity of objects, similar …

[PDF][PDF] Texture classification using sparse frame-based representations

K Skretting, JH Husøy - EURASIP Journal on Advances in Signal …, 2006 - Springer
A new method for supervised texture classification, denoted by frame texture classification
method (FTCM), is proposed. The method is based on a deterministic texture model in which …

[KÖNYV][B] The importance of phase in image processing

N Skarbnik, YY Zeevi, C Sagiv - 2009 - ece.technion.ac.il
The phase of a signal is a non-trivial quantity. It is therefore often ignored in favor of signal
magnitude. However, phase conveys more information regarding signal structure than …

Feasibility study of range verification based on proton-induced acoustic signals and recurrent neural network

S Yao, Z Hu, X Zhang, E Lou, Z Liang… - Physics in Medicine …, 2020 - iopscience.iop.org
Range verification in proton therapy is a critical quality assurance task. We studied the
feasibility of online range verification based on proton-induced acoustic signals, using a …

Automatic target recognition and tracking in forward-looking infrared image sequences with a complex background

SP Yoon, TL Song, TH Kim - … Journal of Control, Automation and Systems, 2013 - Springer
This paper presents a technique for automatic airborne target recognition and tracking in
forward-looking infrared (FLIR) images with a complex background. An image splitting and …

Infrared dim small target detection method based on background prediction and high-order statistics

J Jiao, W Lingda - 2017 2nd International Conference on Image …, 2017 - ieeexplore.ieee.org
In this paper, a new method based on background prediction and high-order statistics for
infrared dim small target detection is proposed. Firstly, the wavelet filter is introduced to …

Wavelet-RX anomaly detection for dual-band forward-looking infrared imagery

A Mehmood, NM Nasrabadi - Applied optics, 2010 - opg.optica.org
This paper describes a new wavelet-based anomaly detection technique for a dual-band
forward-looking infrared (FLIR) sensor consisting of a coregistered longwave (LW) with a …

Infrared aerial small target detection with NSCT and two-dimensional property histogram

G Liu, S Liu, F Wang, J Ma - International Journal of Pattern …, 2018 - World Scientific
A novel algorithm is presented based on non-subsampled contourlet transform (NSCT) and
two dimension property histogram in order to realize the aerial small target detection of …

Automatic target recognition via sparse representations

K Estabridis - … XX; Acquisition, Tracking, Pointing, and Laser …, 2010 - spiedigitallibrary.org
Automatic target recognition (ATR) based on the emerging technology of Compressed
Sensing (CS) can considerably improve accuracy, speed and cost associated with these …

[PDF][PDF] 基于多步长梯度特征的红外弱小目标检测算法

万明, 张凤鸣, 胡双 - Acta Optica Sinica, 2011 - researching.cn
摘要针对低信噪比红外图像中弱小目标检测难的问题, 在分析红外弱小目标各向梯度特征的基础
上, 提出了一种新的红外弱小目标检测算法. 该算法基于红外弱小目标各向梯度均快速下降的 …