Name
Abstract | ||
|---|---|---|
In this article we describe, a Bayesian model for integration of multi-scale image data. The approach is based on the concept of a reference resolution. Data at this and lower resolutions are connected to the reference resolution through a fully specified statistical model; Algorithms for parameter estimation and classification based on the multi-scale model are proposed, and results and comparisons with single-scale classification are presented. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/IGARSS.2003.1294007 | IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES |
Keywords | DocType | Citations |
statistical model,bayesian methods,artificial satellites,image fusion,electromagnetic spectrum,pixel,multiscale modeling,remote sensing,bayesian model,data analysis,parameter estimation,image classification,image resolution | Conference | 1 |
PageRank | References | Authors |
0.47 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G Storvik | 1 | 134 | 18.66 |
| R. Fjortoft | 2 | 234 | 27.36 |
| Anne H. Schistad Solberg | 3 | 74 | 8.95 |