Image fusion, which refers to extracting and then combining the most meaningful information
from different source images, aims to generate a single image that is more informative and …

The images acquired by a single visible light sensor are very susceptible to light conditions,
weather changes, and other factors, while the images acquired by a single infrared light …

The recent years have been marked by continuous improvements of remote sensors with
applications like monitoring and management of the environment, precision agriculture …

Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …

In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …

Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing
image fusion providing an overview on the sensors and applications. It describes data …

Geological field map** and mineral exploration still remain very laborious in many parts of
the inter tropical regions of African plate due to remoteness, low security and high cost …

Integrating synthetic aperture radar (SAR) and optical data to improve urban land cover
classification has been identified as a promising approach. However, which integration level …

In this paper, we discuss the scientific outcomes of the 2015 data fusion contest organized
by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE …

ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …