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Semi-automatic methods are regarded as more practical than automatic methods to obtain and/or update the vector road data. But road tracking methods lose their efficiencies when they are applied to tr...
We present a mathematical model for a UAV-based, multi-sensor data integration. As a background, we first discuss the design and the implementation of a low-cost civilian UAV system, including its fie...
LIDAR is a powerful remote sensing technology for acquisition of 3D information from terrain surface. Algorithms used for LIDAR data in urban area are used mostly to deal with the 3D points cloud an...
With the advent of a new generation of high resolution satellites, images are now available with less than 1 meter spatial resolution in panchromatic mode. For successful individual tree crown ident...
The fusion of digital surfaces, their optimal combination into a new single dataset, is a crucial topic in the geomatic sciences. Nowadays, sensors and processing techniques provide for the same site...
Investigation of civil engineering materials includes a wide range of applications that requires three-dimensional (3D) information. Complex structures shapes and formations within heterogeneous art...
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, ...
Image fusion is a critical issue for remote sensing, and many algorithms have been developed. Image quality assessment of fused image might provide comparison between fusion methods, but the conclusio...
The paper focuses on image fusion between multi-spectral images and panchromatic images using a wavelet analysis method with good signal processing and image processing traits. A new weighting techniq...
Along with computing capability of the Graphic Processing Unit (GPU) getting more powerful, GPU is widely applied to the general purpose computing not just restrict to graph manipulation. Remote sensi...
Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion meth...

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