Results 261 to 270 of about 6,889,850 (329)
Some of the next articles are maybe not open access.
Radar target classification via sparse decomposition
2022Die Erkennung und Identifizierung von Zielen sind entscheidende Schritte in der Kette der Radarsignalverarbeitung. Aufgrund der hohen Auflösung sind abbildende Radare für diese Aufgaben gut geeignet. In dieser Arbeit wird ein Verfahren vorgestellt, das auf der Zerlegung von Radarbildern in verschiedene Streumechanismen basiert.
openaire +1 more source
Three-Order Tensor Creation and Tucker Decomposition for Infrared Small-Target Detection
IEEE Transactions on Geoscience and Remote Sensing, 2021Existing infrared small-target detection methods tend to perform unsatisfactorily when encountering complex scenes, mainly due to the following: 1) the infrared image itself has a low signal-to-noise ratio (SNR) and insufficient detailed/texture ...
Mingjing Zhao +5 more
semanticscholar +1 more source
Radar targets characterization using wavelets pyramidal decomposition
1999 International Conference on Computational Electromagnetics and its Applications. Proceedings (ICCEA'99) (IEEE Cat. No.99EX374), 2003A radar target is usually characterized by its radar cross section (RCS) which is a function of the number of significant scattering points. Nevertheless, these scattering points are not sufficient to determine the target's size. The application of wavelet pyramidal decomposition to the RCS interpretation brings significant additional information that ...
C. Charrier, G.Y. Delisle
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2021
Orthogonal subspace projection (OSP) has been widely used in many applications for hyperspectral data exploitation. However, its performance is sensitive to its used prior target knowledge, which is significantly affected by target background (BKG).
Chein-I. Chang, Jie Chen
semanticscholar +1 more source
Orthogonal subspace projection (OSP) has been widely used in many applications for hyperspectral data exploitation. However, its performance is sensitive to its used prior target knowledge, which is significantly affected by target background (BKG).
Chein-I. Chang, Jie Chen
semanticscholar +1 more source
Introduction to the Polarimetric Target Decomposition Concept
2017Jong-Sen Lee, E. Pottier
openaire +2 more sources
IEEE Transactions on Image Processing, 1998
A modular neural network classifier has been applied to the problem of automatic target recognition using forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks. Each neural network makes a decision based on local features extracted from a specific portion of a target image.
L C, Wang, S Z, Der, N M, Nasrabadi
openaire +2 more sources
A modular neural network classifier has been applied to the problem of automatic target recognition using forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks. Each neural network makes a decision based on local features extracted from a specific portion of a target image.
L C, Wang, S Z, Der, N M, Nasrabadi
openaire +2 more sources
Polarimetric target scattering decomposition: A review
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016The most popular model-based decompositions (MBD) are reconsidered in the context of the estimation theory. It is shown that a large processing window is required to reduce the bias on the individual scattering contribution due the target scattering Reflection symmetry assumption.
openaire +1 more source
Generalized target description and wavelet decomposition (sonar)
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1990Generalized target description by means of colored bright spots is very attractive for recognition or classification tasks in active sonar applications. In the present work, it is shown how such a description can be achieved directly from the impulse response.
P. Flandrin, F. Magand, M. Zakharia
openaire +1 more source
A new extended target decomposition scheme
Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 2005The conventional decomposition from a distributed target is to seek a solution of average single target M/sup T/, which preserves symmetry parameters A/sub 0/, C, and D and a part which consists solely of non-symmetric parameters B/sub 0//sup T/-B/sup T/, E/sup T/, and F/sup T/.
openaire +1 more source
Decomposition method for complex target RCS measuring
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2017In this paper a method of monostatic RCS measuring in real conditions for complex shaped objects is proposed. The basic idea of the method is to provide measuring in near field zone for different parts of the object (fragments) separately. This technique is titled «decomposition method».
Alexander Maslovskiy +3 more
openaire +1 more source