Remote Sensing Image Registration Based on Multifeature and Region Division

Ma, Wenping; Wu, Yue; Zheng, Yanfeng; Wen, Zelian; Liu, Liang

doi:10.1109/lgrs.2017.2728604

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…Fan et al [32] proposed a uniform nonlinear diffusion-based Harris (UND-Harris) feature extraction method using the multi-scale Harris operator to improve the accuracy of detection and matching. In addition to the nonlinear intensity difference of pixel intensity between multispectral images, the lack of sufficient local texture details will also reduce the repeatability of feature points [33]. Hence, the detection of feature points need to fully consider the overall structures of multispectral images.…”

Section: Related Workmentioning

confidence: 99%

Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures

Ruixiang

Zhao

Zhang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: Related Workmentioning

confidence: 99%

Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures

Ruixiang

Zhao

Zhang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…To address this problem, Dellinger et al presented a SIFT-like algorithm dedicated to SAR imaging (SAR-SIFT), which relies on the new gradient by the ratio (GR) method and the new multiscale SAR-Harris space [ 34 ]. The SAR-SIFT features have been applied in many SAR image registration algorithms [ 45 , 46 ]. Liu et al proposed a method combining SIFT and the block-matching method to overcome the drawbacks of these algorithms separately [ 47 ].…”

Section: Introductionmentioning

confidence: 99%

Two-Step Matching Approach to Obtain More Control Points for SIFT-like Very-High-Resolution SAR Image Registration

Deng

2023

Sensors

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Airborne VHR SAR image registration is a challenging task. The number of CPs is a key factor for complex CP-based image registration. This paper presents a two-step matching approach to obtain more CPs for VHR SAR image registration. In the past decade, SIFT and other modifications have been widely used for remote sensing image registration. By incorporating feature point location affine transformation, a two-step matching scheme, which includes global and local matching, is proposed to allow for the determination of a much larger number of CPs. The proposed approach was validated by 0.5 m resolution C-band airborne SAR data acquired in Sichuan after the 2008 Wenchuan earthquake via a SAR system designed by the IECAS. With the proposed matching scheme, even the original SIFT, which is widely known to be unsuitable for SAR images, can achieve a much larger number of high-quality CPs than the one-step SIFT–OCT, which is tailored for SAR images. Compared with the classic one-step matching approach using both the SIFT and SITF–OCT algorithms, the proposed approach can obtain a larger number of CPs with improved precision.

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“…Some scholars have also improved the extraction of descriptors by developing the multiscale Gabor odd filter (M-GOF) (10) and the radiation-variation insensitive feature transform (RIFT) (11) algorithm. (12)(13)(14) However, the construction of descriptors of these well-performing matching methods is often complicated, markedly increasing the matching time.…”

Section: Introductionmentioning

confidence: 99%

Rapid Subpixel Matching Method for Spaceborne Synthetic Aperture Radar Images

Wang¹,

Deng²,

Zhang³

et al. 2022

Sensors and Materials

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With the development of synthetic aperture radar (SAR) technology, SAR images are being widely applied, such as in SAR image fusion and transformation detection, where image matching is a key procedure. In this paper, a practical and rapid subpixel matching method is proposed for spaceborne SAR images. The subpixel SAR-oriented features from an accelerated segment test (SAR-OFAST) detection operator is employed to improve the detection accuracy of keypoints. By determining the overlapping area of master-slave images, the search range of matching is reduced, and the strategy of block matching is adopted to save computing resources. To verify the accuracy and reliability of the proposed matching method, several groups of SAR images obtained with an identical observation orientation and diverse observation angles were tested using the proposed and other methods. Experimental results demonstrate that the proposed method has a higher speed than other methods with similar performance in other indicators, making it more suitable for scenarios requiring high efficiency.

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Remote Sensing Image Registration Based on Multifeature and Region Division

Cited by 19 publications

References 18 publications

Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures

Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures

Two-Step Matching Approach to Obtain More Control Points for SIFT-like Very-High-Resolution SAR Image Registration

Rapid Subpixel Matching Method for Spaceborne Synthetic Aperture Radar Images

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