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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Synthetic aperture radar (SAR) image registration is a challenging task in remote sensing because of the presence of significant intensity as well as geometric differences between the images. Moreover, the influence of multiplicative speckle noise in SAR
S. Paul, U. C. Pati
semanticscholar +1 more source
Synthetic aperture radar (SAR) image registration is a challenging task in remote sensing because of the presence of significant intensity as well as geometric differences between the images. Moreover, the influence of multiplicative speckle noise in SAR
S. Paul, U. C. Pati
semanticscholar +1 more source
M-SIFT: a new descriptor based on Legendre moments and SIFT
SPIE Proceedings, 2011There are many feature descriptors that are insensitive to geometric transformations such as rotation and scale variation. However, most of them cannot effectively deal with blurred image which is a key problem in many real applications. In this paper, we propose a new feature descriptor that combines SIFT descriptor with combined blur, scale and ...
Xiubin Dai, Limin Luo, Xin Zuo, Xin Zuo
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Remote Sensing Image Registration Based on Modified SIFT and Feature Slope Grouping
IEEE Geoscience and Remote Sensing Letters, 2019In feature-based remote sensing image registration, the scale-invariant feature transform (SIFT) algorithm has been one of the most popular solutions. However, it is still a challenge to possess an appropriate amount of correct matches while eliminating ...
Herng-Hua Chang, Guan-Long Wu, M. Chiang
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FLANN Based Matching with SIFT Descriptors for Drowsy Features Extraction
International Conference on Intelligent Information Processing, 2019This paper presents an approach for extraction of drowsy features from face. Drowsiness during driving is one of the major issues of road accident. Driver drowsiness can happen due to fatigue resulting from physical or mental exertion, sedating effects ...
V. Vijayan, Pushpalatha Kp
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Radar Emitter Recognition Based on SIFT Position and Scale Features
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2018As the complexity of the battlefield electromagnetic environment has increased, it has become challenging to identify radiation sources using traditional radar emitter identification technology in low signal-to-noise ratio (SNR) environments.
Shaokun Liu +4 more
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WLIB-SIFT: A Distinctive Local Image Feature Descriptor
2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP), 2019SIFT descriptor plays a great role in image mosaic, image retrieval and target recognition for good invariance of translation, rotation and zoom. However, the disadvantages of SIFT descriptor are its high dimensionality and complex computation.
Mao Wei, Peng Xiwei
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OBJECT RECOGNITION WITH SIFT AND MI-SIFT METHODS
2015This study, which has been commonly used in object recognition area for 10 years, is based on the recognition of special point-based objects and there are differences in some areas such as luminance, anguler and resistance from cyclic and dimensional changes.
HARDALAÇ, Fırat +3 more
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Machine Vision and Applications, 2015
Independent evaluation of the performance of feature descriptors is an important part of the process of developing better computer vision systems. In this paper, we compare the performance of several state-of-the art image descriptors including several recent binary descriptors.
Steven Mills +2 more
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Independent evaluation of the performance of feature descriptors is an important part of the process of developing better computer vision systems. In this paper, we compare the performance of several state-of-the art image descriptors including several recent binary descriptors.
Steven Mills +2 more
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2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors
Multimedia tools and applications, 2021Monika Bansal +2 more
semanticscholar +1 more source
SPIE Proceedings, 2011
In order to improve the robustness and real time performance of SIFT based image registration algorithms, a new descriptor is proposed. We compute the new descriptor for a log-polar location grid with 3 bins in radial direction (the radius set to 3, 6 and 8) and 12 in angular direction, which results 36 location bins.
You Zhai, Luan Zeng
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In order to improve the robustness and real time performance of SIFT based image registration algorithms, a new descriptor is proposed. We compute the new descriptor for a log-polar location grid with 3 bins in radial direction (the radius set to 3, 6 and 8) and 12 in angular direction, which results 36 location bins.
You Zhai, Luan Zeng
openaire +2 more sources