Optimizing point-source parameters for scanning satellite surveys

Optimizing point-source parameters for scanning satellite surveys

We describe a method for deriving the position and flux of point and compact sources observed by a scanning survey mission. Results from data simulated to test our method are presented, which demonstrate that at least a 10-fold improvement is achievable over that of extracting the image parameters, position and flux, from the equivalent data in the form of pixel maps. Our method achieves this i...

Automating Post-processing of Terrestrial Laser Scanning Point Clouds for Road Feature Surveys

Terrestrial Laser Scanner (TLS) have seen increasing use in survey practices as a means of fast capturing large volumes of point data, with one such practice being the surveying of as-built features for roads. This paper presents methods to automate some of the processing of road scenes. The method focuses primarily on the automation of the identification and extraction process of kerbs and sur...

Parameters estimation of point moving source with time-frequency transformation

A new parameter estimation method for a point moving harmonic source with unknown moving velocity and frequency is presented in this paper. The time-frequency representation of the source signal is taking the place of traditional time correlation estimation methods. For a harmonic source moving at constant velocity, the received signal which is amplitude and frequency modulated has no spatial c...

Point Transect Surveys for Songbirds: Robust Methodologies

Response Surface Methodology for Optimizing Hyper Parameters

The performance of an algorithm often largely depends on some hyper parameter which should be optimized before its usage. Since most conventional optimization methods suffer from some drawbacks, we developed an alternative way to find the best hyper parameter values. Contrary to the well known procedures, the new optimization algorithm is based on statistical methods since it uses a combination...