Results 331 to 340 of about 9,170,751 (397)

A Climate Adaptation Device-Free Sensing Approach for Target Recognition in Foliage Environments

IEEE Transactions on Geoscience and Remote Sensing, 2022
Accurate and efficient foliage penetration (FOPEN) target recognition plays a vital role in many mission-critical applications, ranging from civilian to surveillance and military.
Yi Zhong, Tianqi Bi, Ju Wang, Jie Zeng, Yan Huang, Ting Jiang, Siliang Wu   +6 more
semanticscholar   +1 more source

Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2021
Synthetic aperture radar (SAR) automatic target recognition (ATR) plays an important role in SAR image interpretation. However, at least hundreds of training samples are usually required for each target type in the existing SAR ATR algorithms.
Li Wang, Xueru Bai, Chen Gong, Feng Zhou
semanticscholar   +1 more source

Radar HRRP Target Recognition Model Based on a Stacked CNN–Bi-RNN With Attention Mechanism

IEEE Transactions on Geoscience and Remote Sensing, 2021
The range resolution of high-resolution wideband radar is much smaller than the target size. Its echo signals tend to be diverse and sensitive to small changes of targets.
Mian Pan, Ailin Liu, Yanzhen Yu, Penghui Wang, Jianjun Li, Yan Liu, Shuai Lv, He Zhu   +7 more
semanticscholar   +1 more source

Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With Limited Training Samples

IEEE Transactions on Image Processing, 2021
The scattering signatures of a synthetic aperture radar (SAR) target image will be highly sensitive to different azimuth angles/poses, which aggravates the demand for training samples in learning-based SAR image automatic target recognition (ATR ...
Zaidao Wen, Zhun-ga Liu, Shuai Zhang, Q. Pan   +3 more
semanticscholar   +1 more source

Adaptive target recognition

Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99), 2000
Target recognition is a multilevel process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of correct identification (PCI) and probability of false alarm (Pf) is a key challenge in computer vision and ...
Bir Bhanu, Yingqiang Lin, Grinnell Jones, Jing Peng   +3 more
openaire   +1 more source

Sensing ATP: Zeolitic Imidazolate Framework-67 Is Superior to Aptamers for Target Recognition.

Analytical Chemistry, 2021
In a typical biosensor, a biomolecule such as an aptamer is used for target recognition, and a nanomaterial is used for signal generation. Herein, we communicate a reverse system using a nanomaterial for target recognition and a DNA for signaling.
Zhen Wang, Xumei Zhou, Yuqing Li, Zhicheng Huang, Jing Han, G. Xie, Juewen Liu   +6 more
semanticscholar   +1 more source

Image Quality and Target Recognition

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1967
The terminology and literature in the area of image quality and target recognition are reviewed. An experiment in which subjects recognized strategic and tactical targets in aerial photographs with controlled image degradations is described. Some findings are: Recognition performance is only moderate for representative conditions.
C A, Bennett, S H, Winterstein, R E, Kent   +2 more
openaire   +2 more sources

Sparsity-motivated automatic target recognition

Applied Optics, 2011
We present an automatic target recognition algorithm using the recently developed theory of sparse representations and compressive sensing. We show how sparsity can be helpful for efficient utilization of data for target recognition. We verify the efficacy of the proposed algorithm in terms of the recognition rate and confusion matrices on the well ...
Vishal M, Patel, Nasser M, Nasrabadi, Rama, Chellappa   +2 more
openaire   +2 more sources

Underwater Acoustic Target Recognition with ResNet18 on ShipsEar Dataset

International Conference on Emerging Technologies, 2021
Underwater Acoustic Target Recognition (UATR) remains one of the most challenging tasks in underwater signal processing due to the lack of labeled data acquisition, the impact of the time-space varying intrinsic characteristics, and the interference from
Feng Hong, Chengwei Liu, Lijuan Guo, Feng Chen, Haihong Feng   +4 more
semanticscholar   +1 more source

Lightweight Two-Stream Convolutional Neural Network for SAR Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2021
This letter proposes a lightweight two-stream convolutional neural network (CNN) for synthetic aperture radar (SAR) target recognition. Specifically, the two-stream CNN first extracts low-level features by three alternating convolution layers and max ...
Xiayuan Huang, Qiao Yang, Hong Qiao
semanticscholar   +1 more source