Add to ORKGAbstract—Although feature-based methods have been success-fully developed in the past decades for the registration of optical images, the registration of optical and synthetic aperture radar (SAR) images is still a challenging problem in remote sensing. In this letter, an improved version of the scale-invariant feature transform is first proposed to obtain initial matching features from optical and SAR images. Then, the initial matching features are refined by exploring their spatial relationship. The refined feature matches are finally used for estimating registration parameters. Experimental results have shown the effectiveness of the proposed method. Index Terms—Optical and SAR image registration, remote sensing, scale-invariant feature ...
Aiming at the problems of nonlinear gray difference, speckle noise and different imaging viewpoints ...
AbstractThis paper proposes a multiscale registration technique using robust Scale Invariant Feature...
International audienceThe Scale Invariant Feature Transform (SIFT) algorithm is widely used in compu...
Over the last two decades, the volume and quality of the remote sensing images have increased tremen...
Exactly extracting the stable feature of high resolution SAR image as well as matching it are two cr...
Image registration deals with establishing correspondence between pictures of an equivalent scene or...
Abstract—In order to ensure that SAR scene matching aided navigation system can acquire the position...
Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that m...
Geometrically aligning images to a common geometrical axis is called image registration. Registratio...
Over the last years several research studies have shown the high geometric accuracy of high resoluti...
Abstract---Image registration, the process of estimating the optimal correspondence relation between...
Image registration is required for different remote sensing applications, like change detection or i...
Over the last years several research studies have shown the high geometric accuracy of high resoluti...
The Scale-Invariant Feature Transform (SIFT) algorithm and its many variants have been widely used i...
After decades of research, automatic synthetic aperture radar (SAR)-optical registration remains an ...
Aiming at the problems of nonlinear gray difference, speckle noise and different imaging viewpoints ...
AbstractThis paper proposes a multiscale registration technique using robust Scale Invariant Feature...
International audienceThe Scale Invariant Feature Transform (SIFT) algorithm is widely used in compu...
Over the last two decades, the volume and quality of the remote sensing images have increased tremen...
Exactly extracting the stable feature of high resolution SAR image as well as matching it are two cr...
Image registration deals with establishing correspondence between pictures of an equivalent scene or...
Abstract—In order to ensure that SAR scene matching aided navigation system can acquire the position...
Multi-sensor image registration is a challenging task in remote sensing. Considering the fact that m...
Geometrically aligning images to a common geometrical axis is called image registration. Registratio...
Over the last years several research studies have shown the high geometric accuracy of high resoluti...
Abstract---Image registration, the process of estimating the optimal correspondence relation between...
Image registration is required for different remote sensing applications, like change detection or i...
Over the last years several research studies have shown the high geometric accuracy of high resoluti...
The Scale-Invariant Feature Transform (SIFT) algorithm and its many variants have been widely used i...
After decades of research, automatic synthetic aperture radar (SAR)-optical registration remains an ...
Aiming at the problems of nonlinear gray difference, speckle noise and different imaging viewpoints ...
AbstractThis paper proposes a multiscale registration technique using robust Scale Invariant Feature...
International audienceThe Scale Invariant Feature Transform (SIFT) algorithm is widely used in compu...