The development of LIDAR (Light Detection and Ranging) system makes the acquisition of 3D surface information more convenient and immediate than other geomatics technologies. However, the 3D coordinates of the surface features, such as the corners, edges and planes of buildings, cannot be obtained directly from the LIDAR data because of its blind characteristics. How to detect the feature locat...

This paper presents an approach for building extraction and reconstruction from high quality terrain surface, such as LIDAR data generated surface. The approach takes terrain surface data as input and goes through edge detection, edge classification, building points extraction, TIN model generation, and building reconstruction to extract and reconstruct buildings and building related informatio...

Due to the rapid growth of networked computer resources and the increasing importance of related applications, intrusions which threaten the infrastructure of these applications have are critical problems. In recent years, several intrusion detection systems designed to identify and detect possible intrusion behaviors. In this work, an intrusion detection model is proposed to for building an in...

Building detection is a crucial task in the field of remote sensing, which can facilitate urban construction planning, disaster survey, and emergency landing. However, for large-size sensing images, great majority existing works have ignored image tilt problem. This problem result partitioning buildings into separately oblique parts when images are partitioned. not beneficial to preserve semant...

We present the results of an empirical study in which we evaluated cost-sensitive learning algorithms on a rooftop detection task, which is one level of processing in a building detection system. Speciically, we investigated how well machine learning methods generalized to unseen images that diiered in location and in aspect. For the purpose of comparison, we included in our evaluation a handcr...