Name
Title | ||
|---|---|---|
Geographic Object-Based Mosaicing (OBM) of High-Resolution Thermal Airborne Imagery (TABI-1800) to Improve the Interpretation of Urban Image Objects |
Abstract | ||
|---|---|---|
As part of the Heat Energy Assessment Technologies (HEAT) project, we describe a novel geographic object-based mosaicing algorithm referred to as Object-Based Mosaicing (OBM) that joins thermal airborne flight lines around urban roof objects rather than bisecting them with arbitrary mosaic join lines. An OBM mosaic is compared with a “traditional” mosaic product (created in ENVI 4.8) consisting of 44 TABI-1800 flight lines of the City of Calgary, Alberta, Canada (825 km2). Compared with the traditional mosaic, OBM results in the following: 1) visually improved roof shapes within the scene; 2) reduced processing time (up to 50 %); 3) more accurate hot-spot detection; and 4) a better data set for more accurate home energy models-as the thermal imagery for each roof are from a single acquisition time. Conversely, without applying OBM to the full scene, 14 209 homes are bisected within the traditional mosaic product. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/LGRS.2013.2243815 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
geophysical image processing,image segmentation,infrared imaging,remote sensing,Alberta,Calgary,Canada,HEAT project,Heat Energy Assessment Technologies project,TABI-1800,geographic OBM algorithm,geographic object based mosaicing algorithm,high resolution thermal airborne imagery,hot spot detection,processing time,roof shapes,thermal airborne flight lines,urban image object interpretation,urban roof objects,Geographic Object Based Image Analysis (GEOBIA),OBM,TABI 1800,mosaics,roof objects,thermal airborne imagery | Computer vision,Joins,Thermal,Remote sensing,Image segmentation,Heat energy,Artificial intelligence,Roof,Mathematics | Journal |
Volume | Issue | ISSN |
10 | 4 | 1545-598X |
Citations | PageRank | References |
4 | 0.63 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rahman, M.M. | 1 | 4 | 0.63 |
| Hay, G.J. | 2 | 4 | 0.63 |
| Couloigner, I. | 3 | 4 | 0.63 |
| Hemachandran, B. | 4 | 4 | 0.63 |