Results 21 to 30 of about 703,662 (260)
Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases
Remote Sensing, 2023 Due to the imaging mechanism of synthetic aperture radar (SAR), it is difficult and costly to acquire abundant labeled SAR images. Moreover, a typical matched filtering (MF) based image faces the problems of serious noise, sidelobes, and clutters, which ...
Hui Bi +4 more
doaj +1 more source
Identification of Human Motion Using Radar Sensor in an Indoor Environment
Sensors, 2021 In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions.
Sung-wook Kang +2 more
doaj +1 more source
Acoustic target classification [PDF]
, 2018 Species identification is “the grand challenge” (MacLennan and Holliday, 1996) for acoustic methods used to estimate fish abundance (Simmonds and MacLennan, 2005). Acoustic survey methods are continuously improved to increase the accuracy of acoustic classification and thereby reduce the uncertainty of abundance estimates.
openaire +5 more sources
SuperPred: drug classification and target prediction [PDF]
Nucleic Acids Research, 2008 The drug classification scheme of the World Health Organization (WHO) [Anatomical Therapeutic Chemical (ATC)-code] connects chemical classification and therapeutic approach. It is generally accepted that compounds with similar physicochemical properties exhibit similar biological activity. If this hypothesis holds true for drugs, then the ATC-code, the
Dunkel, Mathias +4 more
openaire +2 more sources
Sensors, 2019 Compressive sensing has seen many applications in recent years. One type of compressive sensing device is the Pixel-wise Code Exposure (PCE) camera, which has low power consumption and individual control of pixel exposure time.
Chiman Kwan +6 more
doaj +1 more source
Target Classification Using Frontal Images Measured by 77 GHz FMCW Radar through DCNN
Applied Sciences, 2022 This paper proposes a target classification method using radar frontal imaging measured by millimeter-wave multiple-input multiple-output (MW-MIMO) radar through deep convolutional neural networks.
Mohamed Elbeialy +3 more
doaj +1 more source
Stellar classification of CoRoT targets [PDF]
Astronomy & Astrophysics, 2016 24 pages, 30 figures, accepted for publication in A& ...
Damiani, C. +7 more
openaire +3 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Nowadays, the developed deep neural networks (DNNs) have been widely applied to synthetic aperture radar (SAR) image interpretation, such as target classification and recognition, which can automatically learn high-level semantic features in data-driven ...
Hao Pei +4 more
doaj +1 more source
The Application of Evidence Theory in Supplier Evaluation
Journal of Harbin University of Science and Technology, 2017 Supplier evaluation is significant for enterprise’s development． Nevertheless，as different enterprises have various restrictions such as target，technology，management and so on． Firstly，in accordance with the need of enterprises according to their ...
WANG Guang-ze +3 more
doaj +1 more source
True-Color Three-Dimensional Imaging and Target Classification BASED on Hyperspectral LiDAR
Remote Sensing, 2019 True-color three-dimensional (3D) imaging exploits spatial and spectral information and can enable accurate feature extraction and object classification.
Bowen Chen +8 more
doaj +1 more source