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The geometrical features of airport line segments are seldom used by traditional methods for airport detection in panchromatic remote sensing images. This letter presents a novel method based on both bottom-up (BU) saliency and top-down saliency. Noticing that airport runways have features of vicinity and parallelity and that their lengths are among a certain range, we introduce the concept of near...
State-of-the-art methods for airport detection in panchromatic remote sensing images utilize very limit geometrical features of airport line segments. This paper proposes a novel method based on both bottom-up and top-down saliency. Noticed that airport runways have features of vicinity and parallelity, and their lengths are among certain range, the concept of near parallelity is introduced after...
JPEG compression and resampling operations appear frequently when image is tampered, hence the traces of JPEG compression and resampling are used to detect images. As JPEG compression and resampling operations affect the linear correlation between coefficients, so the traces of JPEG compression and the linear correlation are introduced when images are resampled and saved in JPEG format. Hence, the...
It is very necessary to construct multi-scale DEMs. And terrain simplification algorithms from grid DEMs of high resolution offer an effective solution to approach multi-scale DEMs. This paper presents a simple method for simplifying terrain from dense grid DEMs based on grid cell's spatial autocorrelation. By calculating local Moran's I index for DEM cells, the simplified DEMs is reconstructed with...
Road extraction has become an important topic in remote sensing image processing. As a linear target, road has a simple geometric appearance and can be well represented by the Nonsubsampled Contourlet Transform (NSCT). This paper proposed a new road extraction method, which exploits the directional prior of the road in NSCT domain. Road prior includes not only the directional features, but also the...
This paper presents a new network intrusion detection classification model based on the Support vector machine (SVM). In this model, the factor analysis (FA) algorithm converted a large number of related network behaviors features into concise integrated features, and the support vector decision function ranking method (SVDFRM) calculated the contribution of network behaviors features. Then some important...
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