Classification Methods for Remotely Sensed Data

Classification Methods for Remotely Sensed Data

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

Taylor & Francis Ltd

09/2024

432

Dura

9781032573939

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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