Urban change detection based on an artificial neural network

International Journal of Remote Sensing

Volumn 23, Issue 12, 2002, Pages 2513-2518

  Liu, X ^a   Lathrop, Jr ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; IMAGE ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SATELLITES;

URBAN CHANGE DETECTION;

REMOTE SENSING;

ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; PRINCIPAL COMPONENT ANALYSIS; SATELLITE SENSOR; URBAN AREA; URBAN PLANNING;

EID: 0037142193     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160110097240     Document Type: Article

References (10)

1. Terrain classification in SAR images using principal components analysis and neural networks
2. Feature extraction for multisource data classification with artificial neural networks
3. A neural-statistical approach to multitemporal and multisource remote-sensing image classification
4. A review of assessing the accuracy of classification of remotely sensed data
5. Remotely sensed change detection based on artificial neural networks
6. Evaluation of some factors affecting the accuracy of classification by an artificial neural network
7. Remote sensing of forest change using artificial neural networks
8. Training feedforward networks with the Marquardt algorithm
9. A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery