When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

The GaoFen-2 satellite (GF-2) is a self-developed civil optical remote sensing satellite of China, which is also the first satellite with the resolution of being superior to 1 meter in China. In this paper, we propose a pan-sharpening method based on guided image filtering, apply it to the GF-2 images and compare the performance to state-of-the-art methods. Firstly, a simulated low-resolution p...

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...

Multispectral image reconstruction allows to combine a multispectral low resolution image with a panchromatic high resolution one to obtain a new multispectral image with the spectral properties of the lower resolution image and the level of detail of the higher resolution one. In this paper we formulate the problem of multispectral image reconstruction based on super-resolution techniques and ...

Pixel-level image fusion combines complementary image data, most commonly low spectral-high spatial resolution data with high spectral-low spatial resolution optical data. The presented study aims at refining and improving the High-Pass Filter Additive (HPFA) fusion method towards a tunable and versatile, yet standardized image fusion tool. HPFA is an image fusion method in the spatial domain, ...

Merging of different data sets is often used in digital image processing to improve the visual and analytical quality of the data. The analyst may need to merge different types of data. In this process, different data such as satellite imagery from the same sensor but with different resolution, satellite imagery from different sensors with varying resolution, digitized aerial photography and sa...

In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experim...

With the recent advancements in image processing techniques and the increasing availability of high resolution satellite imagery, one has an increased ability to characterize human attributes. This paper will study the effects that image fusion has on the classification of Quickbird satellite imagery over a rural area in Eastern India. Two panchromatic sharpening algorithms will be used and com...

Due to the increasing demand and use of digital spatial information, the interest is being drawn to the generation of digital orthophotos, which is the most accurate and reliable source of spatial information. The subject of this project is the generation of orthoimages as well as the further processing of these orthoimages for the full exploitation of their spectral and spatial information. Th...

Over the last years, image fusion techniques have gained a renewed interest within the remote sensing community. The reason for this is that in most cases the new generation of remote sensors with very high spatial resolution records image datasets in two separate modes: the highest spatial resolution is obtained for panchromatic images whereas multispectral information is associated with lower...