Classification Methods for Remotely Sensed Data

Classification Methods for Remotely Sensed Data

Mather, Paul M.; Kavzoglu, Taskin; Tso, Brandt

Taylor & Francis Ltd

09/2024

422

Dura

9781032573939

15 a 20 dias

Descrição não disponível.
1. Fundamentals of Remote Sensing. 2. Pattern Recognition Principles. 3. Dimensionality Reduction: Feature Extraction and Selection. 4. Multisource Image Fusion and Classification. 5. Support Vector Machines. 6. Decision Trees. 7. Deep Learning. 8. Object-Based Image Analysis. 9. Hyperparameter Optimization. 10. Accuracy Assessment and Model Explainability.
Remote sensing;Object-based image analysis;Machine learning;Deep learning;Pattern recognition;Image classification;Feature selection;Geospatial Data