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For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
An intelligent approach based on artificial immune systems (AIS) is proposed in this paper to perform the task of spectrum recognition in hyperspectral data analysis. Although traditional spectral mat...
In hyperspectral imagery there are some cases when no pure pixels present due to the limitation of the sensors' space resolution and the complexity of the ground components, and then the endmembers ex...
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
A dimensionality reduction algorithm based on feature extraction of the spectral curve using fractal analysis which considering both the spatial characteristic and spectral characteristic of hyper spe...
Feature selection especially band selection plays important roles in hyperspectral remote sensed image processing. It is worth nothing that band selection approaches need to be combined with image spa...
Aiming at overcoming the disadvantages of the algorithm proposed by White, R. G. (RGW) and making it applicable for PolSAR data classification, a novel edge-detection algorithm based on segmentation f...
The full operational capability of synthetic aperture radar (SAR) interferometry in deformation monitoring has not been achieved yet due to the negative influences of spatio-temporal decorrelation and...
Jason-1 satellite altimetry data are very useful for providing information about the ocean globally in a continuous manner, including the information of sea surface currents. The main objective of the...
In this paper, we analyze synthetic aperture radar (SAR) interferograms derived from Envisat radar data. Use of interferograms from both ascending and descending satellite passes enables usto indicate...
With the rapid development of economy, Chinese rural land-use is experiencing tremendous change, and the constant retreat of the land-use area causes a huge reaction recently. In this paper, we take t...
It is obvious that an earthquake always is counted a threat to species life. It is necessary to react both accurately and precisely to the disaster. The most damages refer to the buildings and the roa...
Aiming at uneven illumination and low contrast of large plane array CCD images, this paper presents an effective algorithm to extract uneven illumination from images and enhance the contrast by using ...
Based on colour images acquired from unmanned planes, we use projective transformation formula to eliminate the perspective distortion observed in overlapping area in two images and get big frame mosa...
In this paper a novel supervised classification algorithm (AIBN) for remote sensing image classification based on artificial immune B-Cell network is proposed. Even though some effective classifiers h...

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