This article presents the scientific outcomes of 2022 Hyperspectral Pansharpening Challenge organized by 12th IEEE Workshop on Image and Signal Processing: Evolution in Remote Sensing (IEEE WHISPERS 2022). The aims at fusing a panchromatic image with hyperspectral data to get high spatial resolution cube same while preserving spectral information data. Four datasets acquired PRISMA mission owne...

The use of high resolution IKONOS imagery should make it possible to extract urban features like buildings and roads more easily than conventional satellite image data. This work examines the synergetic ability of using spectral information from multispectral data in combination with spatial information from panchromatic data in urban land cover mapping using IKONOS Imagery. In this work we tri...

Due to the high spatial resolution requirements for urban information systems, aerial photography has been used as standard imaging input. The advent of new satellites with a resolution of better than 1m (e.g., IKONOS, Quickbird) and digital airborne scanners with excellent geometric fidelity and high spatial resolutions in the cm range (e.g., HRSC, ADS, DMC), however, challenges the analog air...

the purposes of human/machine perception, and for further Abstract: Image processing techniques primarily focus image-processing tasks such as segmentation, object upon enhancing the quality of an image or a set of detection or target recognition in applications such as images and to derive the maximum information from remote sensing and medical imaging. For example, visiblethem. Image Fusion i...

This study deals with the integration of medical images with multimodal Medical Image Fusion (MIF) problem, employing Improved DT-CWT (Dual Tree Complex Wavelet Transform) and a Discrete Optimization Method is to introduce a new approach to fuse panchromatic image and multi-spectral images. In image fusion, two approaches used namely Spatial and Transform. In Spatial fusion, it reduces structur...

Satellites used for remote sensing are, in general, capable of acquiring two different types of images: multispectral (MS) images and a panchromatic (Pan) image. The MS sensors provide multiband images with accurate spectral (color) information but with low spatial resolution. In this project, we propose an edge preserving multiresolution fusion by using subsampled as well as nonsubsampled CT. ...

The development of new imaging methods in various fields arise the need of meaningful combination of all available image datasets. Image fusion is the process of integrating complementary information from multiple image sensor data to create a fused image output. The new image generated should contain a more accurate description of the scene than any of the individual source images and is more ...

Multimodal remote sensing approach is based on merging different data in different portions of electromagnetic radiation that improves the accuracy in satellite image processing and interpretations. Remote Sensing Visible and thermal infrared bands independently contain valuable spatial and spectral information. Visible bands make enough information spatially and thermal makes more different ra...