RECORDING & registrationThe registration of optical and SAR images has always been a challenging task due to the different imaging mechanisms of the corresponding sensors. To mitigate this difference, this paper proposes a registration algorithm based on a pseudo-SAR image generation stra...
Compared with the original algorithm, the uniform feature points can obtain a better transformation model, making the subsequent image registration better. Conclusion In this paper, we propose an improved SIFT algorithm for optical and SAR image registration. Firstly, the nonlinear diffusion scale space...
Although feature-based methods have been successfully 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-invaria...
The experimental results show that our proposal significantly improves the registration performance of optical and SAR image registration, and achieves subpixel or close to subpixel error. 展开 关键词: deep matching network generative adversarial network multimodal images image registration optical and SAR...
TargetDetectionUsingSAR/OpticalImageFusion withoutAccurateRegistration LIULiu 1 敞WANGYing 2 敞RENHui 1 敞XIAOGang 1 敞XIEJinhua 3 (1.SchoolofAeronauticsandAstronautics敞ShanghaiJiaotongUniversity敞Shanghai200240敞China; 2.SchoolofMechanical&ElectricalEngineering敞GuilinUniversityofElectronicTechnology敞Guilin541004...
This paper proposes a novel registration method for optical and SAR images which is based on straight line features and mutual information. Firstly, different edge detectors are employed to detect the line segments in both optical and SAR images respectively. Then, through the Hough transform and ...
This paper addresses registration method and registration precision problems for optical base image and SAR image.A high precision registration method composed of edge-based rough registration and corners-based fine registration is suggested.Based on Cramér-Rao Lower Bound(CRLB) theory,the fundamental pe...
3.4 Towards unsupervised learning Supervised learning with well co-registered optical and SAR image pairs produces good results. However, such dataset is not always available and even if available, it would require a significant amount of effort for image registration. Thus, this paper also explores...
Multi-modal image matching Image registration Feature detection Deep learning Synthetic Aperture Radar (SAR) Optical imagery 1. Introduction Two of the most used modalities for space-borne remote sensing are Synthetic Aperture Radar (SAR) and optical imagery, since the information they provide about ob...
To evaluate the proposed methods generalization, various VHR optical and SAR sensors are used and compounded to construct the study sites. Evenly distributed matching points across the whole image were extracted, and reliable registration results by a non-linear transformation constructed from the points...