Name
Title | ||
|---|---|---|
A forest map updating expert system based on the integration of low level image analysis and photointerpretation techniques |
Abstract | ||
|---|---|---|
In remote sensing a large amount of data is now available, such as very high spatial resolution images and imaging spectrometers, artificial intelligence can be applied to the management of this new information. An expert system (ES) can easily integrate and exploit various type of information, such as soil type map, DEM (digital elevation model) or images. We describe a new method combining an ES and a low level tool. The reasoning of the ES is applied to pixels poorly classified or unclassified by the conventional methods. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026199 | IGARSS |
Keywords | Field | DocType |
expert systems,image classification,image segmentation,terrain mapping,artificial intelligence,change detection,digital elevation model,expert system,forest mapping,high-resolution imagery,imaging spectrometers,low level image analysis,management information,map updating,photointerpretation techniques,remote sensing,soil type map,image analysis,soil type,spatial resolution,java,spectroscopy,satellites,artificial intelligent,imaging spectrometer | Terrain mapping,Computer vision,Computer science,Expert system,Remote sensing,Exploit,Digital elevation model,Image segmentation,Artificial intelligence,Pixel,Contextual image classification,Image resolution | Conference |
Volume | ISSN | Citations |
3 | 2153-6996 | 2 |
PageRank | References | Authors |
0.40 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yves voirin | 1 | 2 | 1.07 |
| Benie, G.B. | 2 | 26 | 2.49 |
| Dong-Chen He | 3 | 189 | 21.81 |
| ko fung | 4 | 2 | 0.40 |
| Kalifa Goita | 5 | 41 | 8.85 |