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With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
During the last two decades surface elevation data have been gathered over the Greenland Ice Sheet (GrIS) from a variety of different sensors including spaceborne and airborne laser altimetry, such as...
Many satellite sensors including Landsat series have been extensively used for land cover classification. Studies have been conducted to mitigate classification problems associated with the use of sin...
Pan-sharpening of very high resolution remotely sensed imagery need enhancing spatial details while preserving spectral characteristics, and adjusting the sharpened results to realize the different em...
In remote-sensing image processing, fusion (pan-sharpening) is a process of merging high-resolution panchromatic and lower resolution multispectral (MS) imagery to create a single high-resolution colo...
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
Previous work on disparity map fusion has mostly focused on geometric or statistical properties of disparity maps. Since failure of stereo algorithms is often consistent in many frames of a scene, it ...
2DPCA is introduced in remote sensing image fusion, and three forms of 2DPCA-based remote sensing image fusion method are proposed according to the different evaluation methods of the projectionvector...
The unsupervised change detection of multitemporal SAR usually can get different results through different threshold selection algorithms. It is hard to determine what kinds of results are the best. I...
Independent component analysis (ICA) is a recently developed linear data analysis method. By using ICA method, the correlation and redundancy of multispectral images can be eliminated. In detail, our ...
The fusion of the panchromatic (PAN) image with multispectral (MS) images is a very useful tool for remote sensing applications that require both high-spatial and high-spectral resolution. A hybrid fu...
This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substit...
A new image fusion method of SAR, Panchromatic (Pan) and multispectral (MS) data is proposed. First of all, SAR texture is extracted by ratioing the despeckled SAR image to its low passapproximation, ...

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