The Image fusion is a data fusion innovation which keeps images as main research substance which refers to the strategies that integrate multi-images of the same scene from multiple image sensor data or integrate multi images of the same scene at different times from single image sensor. In this paper we describes a novel image fusion method, is suitable for pan-sharpening of multispectral (MS)...

With the development of remote sensing technology, fusion of remotely sensed images, such as SPOT panchromatic (SPOT P) with SPOT multispectral images (SPOT XS) or Landsat Thematic Mapper (TM), has become more important in order to obtain richer information in the spatial and spectral domains simultaneously. Many fusion methods have been developed based on the two-band wavelet transformation. H...

The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...

Remote sensing image fusion (or pan-sharpening) aims at generating high resolution multi-spectral (MS) image from inputs of a high spatial resolution single band panchromatic (PAN) image and a low spatial resolution multi-spectral image. In this paper, a deep convolutional neural network with two-stream inputs respectively for PAN and MS images is proposed for remote sensing image pan-sharpenin...

Two visibility tests have been made on a fusion of panchromatic and multi-spectral SPOT5 images. The tests differ in the type of regions (sub-urban versus rural) and in the panchromatic image resolution (5m versus 3m). Two independent photo-interpretors had to extract the road network and the built-up area on part of a georeferenced image. The resulting shapes were compared with the actual data...

The problem of image data fusion coming from different sensors imaging the same object is to try to obtain a result that integrates the best characteristics of each one of those sensors. In this work, we want to combine the characteristics of multispectral (better spectral definition) and panchromatic (better space definition) images, using the bands from the satellites Landsat-7 (panchromatic)...

The concept of image fusion refers to a process that integrates image data recorded at different resolutions or by different sensors to obtain more information from a single and more complete image. In this study, wavelet image fusion method was applied to merge Landsat ETM Panchromatic (P) and Multispectral (MS) imagery to produce a new image which is spectrally and spatially enhanced. Three d...

This paper clarifies the concepts and relationship between image fusion rules and operators based on wavelet transform. According to wavelet decomposition characteristic, a new strategy of calculating spatial frequency is put forward. Fusion experiments are performed on QuickBird panchromatic (PAN)and multispectral (MS) images based on orthogonal and biorthogonal wavelet, in which a method of c...

Transferring spatial details of a high-resolution image into a low-resolution one is called image fusion. There are some different fusion methods introduced. Due to the nature of fusion process, these methods may damage the spectral quality of the low-resolution multispectral image to a certain extent. In the literature, there are some metrics that are used to evaluate the quality of the fused ...