Remote Sensing Image Fusion for Different Spectral and Spatial Resolutions with Bilinear Resampling Wavelet Transform
نویسندگان
چکیده
It is an important way that some remote sensing images of different spatial and spectral resolutions are fused to satisfy the requirement of general application. In order to achieve a good fusion result, low spatial spectral images should be resampled. At present, nearest neighbor resampling is often adopted which has some effects on the precision of new image. In this paper, an image fusion method is proposed with bilinear resampling wavelet (BRW) transform, and compared with nearest neighbor resampling wavelet transform, IHS transform and Brovery transform. On the platform of ENVI/IDL simulations show that the BRW method is of good performance of preserving the spectral and spatial resolutions for remote sensing images, with lowest the lost of spectral information.
منابع مشابه
Fusion of Thermal Infrared and Visible Images Based on Multi-scale Transform and Sparse Representation
Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...
متن کاملModeling the potential of Sand and Dust Storm sources formation using time series of remote sensing data, fuzzy logic and artificial neural network (A Case study of Euphrates basin)
Due to the differences between the visible and thermal infrared images, the combination of these two types of images leads to better understanding of the characteristics of targets and the environment. Thermal infrared images are really in distinguishing targets from the background based on the radiation differences and land surface temperature (LST) calculation. However, their spatial resolu...
متن کاملFusion of High Spatial and Spectral Resolution Images Based on Spatial Domain and Multiresolution Analysis
Image fusion is one of the important techniques to enhance image information of remote sensing. In order to adequately make use of all kinds of remote sensing images information such as Panchromatic and threeband multi-spectral images, a novel remote sensing image fusion scheme based on wavelet transform is proposed. The fusion of multispectral (MS) and panchromatic (PAN) images, with complemen...
متن کاملFusion of Panchromatic and Multispectral Images Using Non Subsampled Contourlet Transform and FFT Based Spectral Histogram (RESEARCH NOTE)
Image fusion is a method for obtaining a highly informative image by merging the relative information of an object obtained from two or more image sources of the same scene. The satellite cameras give a single band panchromatic (PAN) image with high spatial information and multispectral (MS) image with more spectral information. The problem exists today is either PAN or MS image is available fr...
متن کاملImage Fusion Techniques in Remote
Remote sensing image fusion is an effective way to use a large volume of data from multisensor images. Most earth satellites such as SPOT, Landsat 7, IKONOS and QuickBird provide both panchromatic (Pan) images at a higher spatial resolution and multispectral (MS) images at a lower spatial resolution and many remote sensing applications require both high spatial and high spectral resolutions, es...
متن کامل