Speckle filtering and detail preservation are two key issues in speckle suppression of Synthetic Aperture Radar (SAR) imagery. Different applications may require different balances between speckle reduction and detail retention. This paper presents a detail-preserving and flexible filter. Both quantitative and qualitative criteria, including speckle reduction, edge retention, texture preservati...

The fundamental matrix plays an important role in the field of computer vision. How to estimate it accurately has become a major subject. In this paper, an improved approach based on the 7-point algorithm is presented. In this method, initial estimations of the fundamental matrix are provided by the 7-point algorithm. Then an optimal fundamental matrix will be selected which offers relatively l...

Choirs seem to exhibit varying proficiency of intonation (meaning the overall degree of precision in pitch) under differing acoustic conditions. If so, which conditions are the most conducive to correct intonation? Amateur male choir singers were asked to sing (one at a time) just intervals from a synthetic vowel tone whose spectrum arrd vibrato content were varied. The standard deviation in fu...

Synthetic aperture radar (SAR) has been recognized as a powerful tool for geological feature detection. This work introduces a new approach using Particle Swarm Optimization automatically detected geological features from PALSAR SAR data. The result shows that the new formula based on Particle Swarm Optimization can be delineated lineament features in PALSAR data. The new approach using Particl...

Quality assessment is an important part in the strapdown airborne gravimetry. Root mean square error (RMSE) evaluation method is a classical way to evaluate the gravimetry quality, but classical evaluation methods are preconditioned by extra flight or reference data. Thus, a method, which is able to largely conquer the premises of classical quality assessment methods and can be used in single s...

The uncertainty of a PIV displacement field is estimated using a generic post-processing method based on statistical analysis of the correlation process using differences in the intensity pattern in the two images. First the second image is dewarped back onto the first one using the computed displacement field which provides two almost perfectly matching images. Differences are analyzed regardi...

The two general data analytic questions of subgroup mining (B2.2) deal with deviations and associations (C5.2.3, C5.2.4). A deviation pattern describes a deviating behavior (distribution) of a target variable in a subgroup. Target variable and behavior type are selected by the analyst for an individual mining task, the deviating subgroups are determined by the mining method. Deviation patterns ...