GEOBIA: GEO-Object-Based Image Analysis -- What it is and why you need it.
- Date: 11/16/2006
Geoffrey Hay (PIMS Guest Speaker - UofC Prof)
Calgary Place Tower (Shell)
GEOBIA (pronounced ge-o-be-uh) is a recent sub-discipline of GIScience devoted to partitioning remote sensing (RS) imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scale. At its most fundamental level, GEOBIA requires image segmentation, attribution, classification and the ability to query and link individual objects (a.k.a. segments) in space and time. To achieve this, GEOBIA incorporates knowledge/methods from a vast array of disciplines involved in the generation and use of geographic information (GI). Time permitting we will briefly discuss a number of multiscale object-based image processing methods such as Object-Specific Analysis and Upscaling, Marker-Controlled Watershed Segmentation, Scale-Space and Size-Constrained Region Merging. RS Datasets will range from high-resolution Agro-forest landscapes in Quebec to 2D/3D seismic data of the South Caspian Sea, and high-resolution Optical and LiDAR (Light Detection and Ranging) forest datasets in British Columbia.
PIMS is presenting a series of lectures at the Calgary Place Tower 1 in downtown Calgary. These lectures, given by experts from the PIMS Universities, will focus on mathematical techniques and applications relevant to the oil and gas industry and will demonstrate the utility and beauty of applied mathematics. The talks are aimed at a general audience. Attendance may qualify for APEGGA Professional Development Hours.