Name
Abstract | ||
|---|---|---|
In this paper a method based on canonical correlation analysis, called MNF/MAD is proposed for change detection in multispectral imagery from multisensor. This method is able to concentrate change information in all spectral bands, and it has the merit of insensitive to linear transformations such as gain settings of measuring devices and linear radiometric correction schemes. A case study using Landsat7 ETM+ and SPOT5 HRG images is conducted to validate the feasibility and effectiveness of this method. © 2005 IEEE. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IGARSS.2005.1525790 | IGARSS |
Keywords | Field | DocType |
multisensor,change detection,mnf,cca,mad,radiometry,image sensors,multispectral imaging,image analysis,multispectral imagery,information analysis,image resolution,spatial resolution,remote sensing | Computer vision,Change detection,Image sensor,Computer science,Multispectral image,Remote sensing,Radiometry,Multispectral pattern recognition,Artificial intelligence,Image resolution,Gain measurement | Conference |
Volume | Issue | ISBN |
6 | null | 0-7803-9050-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingsheng Liao | 1 | 191 | 43.90 |
| Lu Zhang | 2 | 35 | 10.89 |
| Hui Lin | 3 | 0 | 0.34 |