Results 241 to 250 of about 8,409,422 (284)

A Local Contrast Method for Small Infrared Target Detection

IEEE Transactions on Geoscience and Remote Sensing, 2014
Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented in this paper. At the first stage, the local
C L Philip Chen, Yantao Wei, Yuan Yan Tang   +2 more
exaly   +2 more sources

Detectability of infrared small targets

Infrared Physics & Technology, 2010
Selecting the most appropriate algorithms for detecting small targets in varied infrared image scenes is frequently needed, since the relative characteristics between small targets and backgrounds in varied scenes are disparate. To solve that problem, a novel criterion is proposed in this article to measure the difficulty in distinguishing small ...
Kang Huang, Xia Mao
openaire   +1 more source

RISTDnet: Robust Infrared Small Target Detection Network

IEEE Geoscience and Remote Sensing Letters, 2022
The infrared (IR) small target detection algorithm with a high detection rate, low false alarm rate, and high real-time performance has significant application value in the field of IR remote sensing. IR small targets in complex backgrounds have low contrast and low signal-to-noise ratio (SNR).
Qingyu Hou, Zhipeng Wang, Fanjiao Tan, Ye Zhao, Haoliang Zheng, Wei Zhang   +5 more
openaire   +1 more source

A new tracking method for small infrared targets

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region.
Lei Yang 0063, Weiping Lu, Jie Yang 0001
openaire   +1 more source

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, Jianjun Huang 0002, Li Kang 0001, Jingxiong Huang   +3 more
openaire   +1 more source

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, Huixin Zhou, Shenghui Rong, Xiuping Jia   +3 more
openaire   +2 more sources

Infrared small target tracking based on SOPC

SPIE Proceedings, 2011
The paper presents a low cost FPGA based solution for a real-time infrared small target tracking system. A specialized architecture is presented based on a soft RISC processor capable of running kernel based mean shift tracking algorithm. Mean shift tracking algorithm is realized in NIOS II soft-core with SOPC (System on a Programmable Chip ...
Taotao Hu, Xiang Fan, Yu-Jin Zhang, Zhengdong Cheng, Bin Zhu   +4 more
openaire   +1 more source

The Size and Position Detection of the Small Target in Infrared Image

2011
In this paper, we present a technique used to detect the location and size of small targets in a multi-resolution image using a cubic facet model. The input image is divided into multi-resolution images. We apply the facet model and the local maxima conditions to each level of the multi-resolution images. We then detect the location of the small target.
Gyoon-Jung Lee, Ji-Hwan Park, Jae-Heum Joo, Ki-Gon Nam   +3 more
openaire   +2 more sources

Statistical feature extraction/selection for small infrared target

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016
Feature extraction and selection have become necessary steps for ‘low loss dimension reduction’. Machine learning, data mining and pattern recognition are the respective fields to use this methodology. In small target infrared image many false alarms may occur due to different clutters. In machine learning, for preprocessing set of relevant features of
Neha Pokhriyal, Shashi Kant Verma
openaire   +1 more source

Multiple Feature Analysis for Infrared Small Target Detection

IEEE Geoscience and Remote Sensing Letters, 2017
Detection of small target has been an important and challenging task in infrared systems. Most detection algorithms which only use single metric are difficult to separate target from clutter completely. The false alarm may be high when there exists complex backgrounds.
Yanguang Bi, Xiangzhi Bai, Ting Jin, Sheng Guo 0003   +3 more
openaire   +1 more source