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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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A Method of Acceleration Applied in Symmetric-SIFT and SIFT
2013Symmetric-SIFT is an effective technique used for registering multimodal images. It is based on a well-known image registration technique named Scale Invariant Feature Transform (SIFT). Similar to SIFT, Symmetric-SIFT detects many stable keypoints even though not all of which are useful.
Dong Zhao +3 more
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2006
We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detection of interest regions is considerably speed-up by using an integral image for scale space computation.
Michael Grabner +2 more
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We propose a considerably faster approximation of the well known SIFT method. The main idea is to use efficient data structures for both, the detector and the descriptor. The detection of interest regions is considerably speed-up by using an integral image for scale space computation.
Michael Grabner +2 more
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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
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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
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A spatial-spectral SIFT for hyperspectral image matching and classification
Pattern Recognition Letters, 2019The scale-invariant feature transform (SIFT) is known as one of the most robust local invariant feature and is widely applied to image matching and classification. However, There is few studies on SIFT for hyperspectral image (HSI).
Yanshan Li, Qingteng Li, Yan Liu, W. Xie
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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
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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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ORB: An efficient alternative to SIFT or SURF
Vision, 2011Ethan Rublee +3 more
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ACM SIGSOFT Software Engineering Notes, 1982
P. M. Melliar-Smith, Richard L. Schwartz
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P. M. Melliar-Smith, Richard L. Schwartz
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