Image fusion is an effective complementary method to obtain information from multi-source
data. In particular, the fusion of synthetic aperture radar (SAR) and panchromatic images …

In the field of image fusion, spatial detail blurring and color distortion appear in synthetic
aperture radar (SAR) images and multispectral (MS) during the traditional fusion process …

Recently, deep learning based multispectral (MS) and panchromatic (PAN) image fusion
methods have been proposed, which extracted features automatically and hierarchically by …

The fusion of high-resolution SAR and optical images, aiming to produce an enhanced
image which benefits from both the spectral information of the optical image and the spatial …

Sensors of different wavelengths in remote sensing field capture data. Each and every
sensor has its own capabilities and limitations. Synthetic aperture radar (SAR) collects data …

Image fusion of different types of satellite images is of widespread interest due to the
increasing availability of various spaceborne imaging sensors. In this letter, a new multi …

The noise and significant spectral differences lead to severe spectral and spatial information
distortions in the fusion result of SAR and optical images. We propose a fusion method …

The task of enhancing the perception of a scene by combining information captured from
different image sensors is usually known as multisensor image fusion. This paper presents …

Synthetic aperture radar (SAR) and optical images often present different geometric
structures and texture features for the same ground object. Through the fusion of SAR and …

Synthetic aperture radar (SAR) is an important remote sensing sensor whose application is
becoming more and more extensive. Compared with traditional optical sensors, it is not easy …