Name
Title | ||
|---|---|---|
Application of Model-Based Change Detection to Airborne VNIR/SWIR Hyperspectral Imagery |
Abstract | ||
|---|---|---|
Hyperspectral change detection (HSCD) provides an avenue for detecting subtle targets in complex backgrounds. Complicating the problem of change detection is the presence of shadow, illumination, and atmospheric differences, as well as misregistration and parallax error, which often produce the appearance of change. Recent development of a model-based (MB) approach to HSCD has demonstrated potential improvement for mitigating false alarms due specifically to shadow differences using calibrated data. Further development and application of the MB approach is provided here. The method is extended for use on both uncalibrated and relatively calibrated hyperspectral data and is applied to airborne hyperspectral imagery collected using the Hyperspectral Digital Imagery Collection Experiment visible to short-wave infrared sensor and uncalibrated tower imagery collected by the Air Force Research Laboratory. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TGRS.2012.2186305 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | Field | DocType |
calibration,geophysical image processing,geophysical techniques,image registration,infrared detectors,object detection,Air Force Research Laboratory,airborne SWIR hyperspectral image,airborne VNIR hyperspectral image,atmospheric difference analysis,calibration data,false alarm mitigation,hyperspectral change detection,hyperspectral digital imagery collection experiment,misregistration analysis,model-based change detection method,parallax error analysis,short-wave infrared sensor,subtle target detection,visible infrared sensor,Change detection,hyperspectral,hypothesis testing,image analysis,optimization,physical model | Object detection,Computer vision,VNIR,Shadow,Change detection,Parallax,Remote sensing,Hyperspectral imaging,Artificial intelligence,Calibration,Mathematics,Image registration | Journal |
Volume | Issue | ISSN |
50 | 10 | 0196-2892 |
Citations | PageRank | References |
6 | 0.45 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Meola | 1 | 72 | 5.54 |
| Michael T. Eismann | 2 | 326 | 19.71 |
| Randolph L. Moses | 3 | 712 | 64.69 |
| Joshua N. Ash | 4 | 139 | 10.16 |