To process optical and SAR images, an image translation process-oriented Deep Adaptation-based Change Detection Technique (DACDT) is proposed. An optimized U-Net++ model is proposed that helps to improve the global and regional impacts of the images. Moreover, a multi-scale loss function is ...
The combined bundle block adjustment model with optical and SAR images has been constructed in this paper, and its some key problems have been studied, such as construc- tion of observation equation, computation of weight matrix and the frame of computation pro- cess. Two experiments with the ...
Aiming at improving the performance of scale invariant feature transform (SIFT) algorithm during the registration of optical and synthetic aperture radar (SAR) images, a new SIFT algorithm is proposed. Firstly, the nonlinear diffusion scale space of opti
In this article, we combined intensity- and feature-based similarity measures to co-register very-high-resolution (VHR) optical and SAR images. The global translation difference between optical and SAR images is minimized by applying a mutual information (MI) intensity-based similarity measure from ...
In many remote sensing applications, it is necessary to integrate the complementary information provided by the optical and SAR images. In these applications such as image fusion, change detection, image mosaicing [2, 3], image registration is a vital step. It performs the alignment of two or ...
The registration of synthetic aperture radar (SAR) and optical images is the critical precondition for image fusion and image analysis, since SAR and optical imaging have complementary effects. However, the traditional algorithms do not often meet the actual demands when a large distortion, the combi...
SAR and optical integrated data produced the best classification overall accuracies using both MLC and NN, respectively equal to 91.1% and 92.7% for TM and 95.6% and 97.5% for AVNIR-2. Texture information derived from optical images was critical, improving results between 10.1% and 13.2%. In...
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...
In order to model the related fault slip amplitude and geometry at depth, subpixel offsets tracking (here called correlograms) from Sentinel-2 optical and Sentinel-1 SAR images were calculated and used. Observations Post-seismic surface velocity map A post-seismic surface velocity map (Fig. 1c...
This paper presents a method for denoising, feature extraction and compares classifications of Optical and SAR images. The image was denoised using K-Singular Value Decomposition (K-SVD) algorithm. A method to map the extraordinary goal signatures to be had withinside the SAR or Optical image ...