SARSentinel-1Sentinel-2Multi-feature fusion●An Optical and SAR images Combined Mangrove Index (OSCMI) based on the idea of multi-feature fusion is constructed.●An effective classification scheme for rapid and accurate mangrove mapping using one-year mean composite image.●The introduction of VV ...
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 ...
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 ...
Fusion of Spaceborne Optical and SAR Images for Building Height Quick Extraction in Big Urban Areasdoi:10.11947/J.AGCS.2017.20160573Tianwei FengLi HuActa Geodaetica et Cartographica Sinica
Moreover, the accuracy ofcity,village,road,water,forest, andfarmlandclassification was improved by 7%, 2%, 5%, 6%, 1%, and 0.6%, respectively, reflecting the superior performance of fusing optical and SAR images. Furthermore, the classification accuracy in Hubei Province of China, which covers ...
classification. Thus, if we translate SAR images to optical images, it is easier to recognize the ground information and categorize different scenes for people who have not learned professional knowledge. Therefore, it is of great significance to explore the method of SAR-to-optical image ...
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
Automatic registration of high-resolution optical and SAR images based on an integrated intensity- and feature-based approach Precise image-to-image registration is required to use multi-sensor data implementing a diversity of applications related with remote sensing. The purpose ... Y Han,Y Kim,J...
SAR and optical imagery provide highly complementary information about observed scenes. A combined use of these two modalities is thus desirable in many data fusion scenarios. However, any data fusion task requires measurements to be accurately aligned. While for both data sources images are usually ...
DLSC has been evaluated with four pairs of optical and SAR images. Experimental results demonstrate its advantage over the state-of-the-art similarity metrics (such as NCC and mutual information), and show the superior matching performance. 展开 ...