Image Analysis, Classification and Change Detection in Remote Sensing
portes grátis
Image Analysis, Classification and Change Detection in Remote Sensing
With Algorithms for Python, Fourth Edition
Canty, Morton John
Taylor & Francis Ltd
01/2023
532
Mole
Inglês
9781032475745
15 a 20 dias
980
Descrição não disponível.
Images, Arrays, and Matrices. Image Statistics. Transformations. Filters, Kernels and Fields. Image Enhancement and Correction. Supervised Classification Part 1. Supervised Classification Part 2. Unsupervised Classification. Change Detection. Mathematical Tools. Efficient Neural Network Training Algorithms. Software
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Open Source Computer Vision Library;Earth Observation;RGB Color Composite;feed forward neural networks;RGB Composite;Bi-temporal Image;Google Earth Engine;image analysis algorithms;Bitemporal Images;Machine Learning;Polarimetric SAR Image;Python; TensorFlow;Aster Scene;remote sensing;Aster Image;Posterior Class Membership Probabilities;SAR Image;synthetic aperture radar imagery;Complex Wishart Distributed;wavelet transformations;Wishart;Polarimetric SAR;Aster VNIR;Kernel PCA;Jupyter Notebook;Gibbs Markov Random Fields;Principal Components Transformation;SAR Remote Sensing;Mad;MNF Transformation;Bayes Error;Relative Radiometric Normalization;Haar Scaling Function;Kernel Matrix;MNF
Images, Arrays, and Matrices. Image Statistics. Transformations. Filters, Kernels and Fields. Image Enhancement and Correction. Supervised Classification Part 1. Supervised Classification Part 2. Unsupervised Classification. Change Detection. Mathematical Tools. Efficient Neural Network Training Algorithms. Software
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Open Source Computer Vision Library;Earth Observation;RGB Color Composite;feed forward neural networks;RGB Composite;Bi-temporal Image;Google Earth Engine;image analysis algorithms;Bitemporal Images;Machine Learning;Polarimetric SAR Image;Python; TensorFlow;Aster Scene;remote sensing;Aster Image;Posterior Class Membership Probabilities;SAR Image;synthetic aperture radar imagery;Complex Wishart Distributed;wavelet transformations;Wishart;Polarimetric SAR;Aster VNIR;Kernel PCA;Jupyter Notebook;Gibbs Markov Random Fields;Principal Components Transformation;SAR Remote Sensing;Mad;MNF Transformation;Bayes Error;Relative Radiometric Normalization;Haar Scaling Function;Kernel Matrix;MNF
