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Application fields of multisource high resolution remote sensing image fusion are expending ceaselessly. Especially, commercial remote sensing satellite data and image fusion algorithms are constantly emerging. This paper proposed an intelligent decision strategy that can be used to query various remote sensing data for recommending the optimal image fusion data combination and appropriate fusion...
With the successive launch and rapid development of the new satellite WorldView-2 and WorldView-3, panchromatic and multispectral image fusion become a hot research topic. To resolve the dilemma of the currently existing methods for panchromatic and multispectral image fusion, viz. unavoidable spectral distortion or the need to introduce cumbersome frequency analysis and reconstruction, a method has...
This paper proposes a fusion based on IHS combined robust PCA for remotely sensed Mars image data obtained by the MRO and Odyssey (THEMIS). Experiments show that the proposed algorithm, compares with conventional fusion techniques, can significantly inhibit the blocking artifacts and better extract the spatial details from the source images.
In this paper a novel fusion strategy for multiband images is presented. The proposed technique preserves the strong and weak features in the multiband images in an appropriate proportion while fusing. The fused image is computed with the normalized weighted average of the pixels at the corresponding location. To obtain the weight, we find the difference image that provides important local details...
The Ehlers fusion method, which combines a standard intensity-hue-saturation (IHS) transform with the fast Fourier transform (FFT) filtering, is a good color preservation method for multi-temporal and multi-sensor datasets. However, for the dataset with more than three bands, the fusion process is complicated. Because only every three bands are fused repeatedly for multiple times until all bands are...
Pan-sharpening is widely used as a tool toconstruct remotely sensed image, which is rich in both spectral and spatial contents. Panchromatic sharpening is used to improve the spatial resolution and provide an enhanced visualization of a multiband image using the high-resolutions, single-band image. The main scope of pan-sharpening is to maximize the spatial content simultaneously and minimize the...
With the advent of numerous remote sensing sensors available for the researcher, the fusion of digital image data has become a imperative tool for classifying remote sensing image and evaluation too. Remote sensing image fusion not only improves the spatial resolution of the original multispectral image, but also improves the spectral quality of merged product. Quantitative and qualitative digital...
The quality of fused images mostly depends on the number of source images available. On the other hand, the optimal fusion of large numbers of images still remains as a nontrivial process. This paper presents a fuzzy logic based method which is able to mitigate such a difficulty. In our approach, we first aligned the spatial resolutions of inputs to the desired value and satisfied the histogram matching...
Due to cost and complexity issues, hyperspectral (HS) images have lower spatial resolution than multispectral (MS) and panchromatic (PAN) images. We present a novel method for fusing both MS and PAN images and also HS and MS images, based on their statistical properties in the wavelet domain. HS images contain spectral redundancy that makes the dimensionality reduction of the data via principal component...
Perception and diagnosis of disorders by using single photon emission computed tomography (SPECT) image is difficult since this image does not contain anatomical Information. In the studies it is tried to make innovation SPECT image by magnetic resonance imaging (MRI) and image fusion methods. So the fused image is obtained involving functional and anatomical information. MRI image shows tissue brain...
In remote sensing applications, the increasing availability of space borne sensors gives a motivation for different image fusion algorithms. Remote sensing image fusion aims at integrating the information conveyed by data acquired which cover different portions of the electromagnetic spectrum at different spatial, temporal and spectral resolutions; so that we can get multi-temporal, multi-resolution...
In remote sensing applications there is a need of an image with high spatial resolution and high spectral resolution. To obtain this kind of image the panchromatic image is fused with the multispectral image using hybrid transform. The basic ideas behind this method is that the extraction of the spectral information from the multispectral image and fuse this information with the new intensity component...
This paper presents a novel method based on the developed multiscale dual bilateral filter to fuse high spatial resolution panchromatic image and high spectral resolution multispectral image. Compared with traditional multi-resolution based methods, the process of detail extraction considers the characteristics of panchromatic image and multispectral image simultaneously. The low resolution multispectral...
Hyperspectral sensors (HS) are next-generation optical sensors that have excellent spectroscopic performance with hundreds of bands. Multispectral sensors (MS) are conventional optical sensors that have several bands with higher spatial resolution. There is a trade-off relation between spectral and spatial performance of optical sensors in terms of signal-to-noise ratio and data rate. In order to...
Image fusion involves merging two or more images into a single image with more information. Recently, many algorithms have been proposed for fusion of low-resolution multispectral (MS) and high-resolution panchromatic (Pan) images. In this paper, the intensity (I) component of fused image is obtained according to adaptively weighted combination to combine I component of MS image and Pan image in the...
IKONOS image provides the 1m high spatial panchromatic and the 4 m multi-spectral data, which can be fused to improve the class accuracy of visual or computer interpretation. The fusion techniques have been developed an important remote sensing research topic. In this paper, with the IKONOS image of CHONGQING acquired on May 23, 2010 as the experimental data, several image fusion algorithms as commonly...
Spatial and Temporal Fusion of Remote Sensing Data is a technology that can generate dense time series high spatial data whose spatial resolution is similar with high spatial resolution date, and temporal resolution is same with high temporal resolution data. Using Hai'an County of Jiangsu Province as the experimental area, we tested the ability of different wavelet functions and fusion methods in...
Efficient multi-resolution image fusion aims to take advantage of the high spectral resolution of hyperspectral images and high spatial resolution of panchromatic images simultaneously. This paper presents a multi-resolution data fusion scheme, based on our algorithm: Retina-Inspired-Model (RIM), and three algorithms: Gram-Schmidt, principal component and Colour-Normalized Transform. This allows to...
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