Consumer-grade digital cameras suffer from geometrical instability that may cause problems when used in photogrammetric applications. This paper provides a comprehensive review of this issue of interior orientation parameter variation over time, it explains the common ways used for coping with the issue, and describes the existing methods for performing stability analysis for a single camera. T...

SUMMARY This research presents a method of rectification for the image flow acquired by UAV. The sensor on the UAV is a multi-channel push broom sensor. The linear array can cover a stripe with approximately 6 Km on the ground. The motions (roll, pitch, yaw, etc) of the UVA platform are influenced by the relatively low-altitude flying so that have the attitude changed which are terrible to prod...

OBJECTIVE To evaluate and compare the psychometric qualities of three retrospective, multi-item measures of childhood sexual abuse (CSA): the CSA Frequency Scale, CSA Count Index, and CSA Multiple Characteristics Index. METHODS Two samples of women 20-50 years old who experienced CSA were recruited from a family practice clinic (N=132) and the community (N=19). The measures were designed to r...

Screening for ultrahigh dimensional features may encounter complicated issues such as outlying observations, heteroscedasticity or heavy-tailed distribution, multi-collinearity and confounding effects. Standard correlation-based marginal screening methods be a weak solution to these issues. We contribute novel robust joint screener safeguard against outliers distribution mis-specification both ...

INTRODUCTION The DLT (Direct Linear Transformation) algorithm, the most frequently used calibration algorithm, is based on the so-called collinearity condition; i.e. the object, image, and projection center form a straight line. This condition, however, does not hold in an underwater analysis setting due to the nonlinear image deformation caused by refraction at the water-air interface (Figure ...

Sleep deficiency impacts the quality of life and may have serious health consequences in long run. Questionnaire-based subjective assessment sleep has many limitations. On other hand, objective is challenging. In this study, we propose a polysomnography-based mathematical model for computing baseline severity score then investigated estimation using features available only from wearable sensor ...