Name
Title | ||
|---|---|---|
Competitive artificial neural network for change-detection of land cover: an unsupervised approach |
Abstract | ||
|---|---|---|
This work investigates the potential of an unsupervised network classifier, the Centroid Neural Network (CNN), for land cover change detection in remotely sensed images. Experiments carried out to evaluate the algorithm include change detection in both approaches: pre-classification and post-classification. Results confirm the effectiveness of this technique. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1024952 | IGARSS |
Keywords | Field | DocType |
adaptive signal processing,geophysical signal processing,geophysical techniques,image sequences,neural nets,terrain mapping,centroid neural network,algorithm,change detection,competitive artificial neural network,geophysical measurement technique,image processing,image sequence,land cover,land surface,multitemporal image processing,network classifier,neural net,post-classification,pre-classification,remote sensing,self-adaptive classifier,unsupervised approach,neural network,artificial neural networks,neural networks,satellites,data engineering,remote monitoring,artificial neural network,cellular neural networks,clustering algorithms | Computer vision,Change detection,Computer science,Remote sensing,Image processing,Artificial intelligence,Cluster analysis,Classifier (linguistics),Artificial neural network,Land cover,Cellular neural network,Centroid | Conference |
Volume | Citations | PageRank |
1 | 1 | 0.82 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Luiza F. Velloso | 1 | 12 | 5.93 |
| Simoes, M. | 2 | 1 | 0.82 |
| Carneiro, T.A. | 3 | 1 | 0.82 |