Explore MATLAB source code curated for "遥感图像分类" with clean implementations, documentation, and examples.
This algorithm performs remote sensing image classification using k-means clustering for terrain segmentation across multiple input images. The implementation involves processing several remote sensing images simultaneously to achieve comprehensive data analysis and improved classification accuracy.
Neural network source code implementable for remote sensing image classification, featuring methods including Backpropagation (BP) and Kohonen algorithms with detailed architecture specifications.
MATLAB-based neural network approach for remote sensing image classification employing Backpropagation (BP) neural networks with code implementation details
Implementation of fuzzy c-means clustering algorithm for remote sensing image classification with customizable parameters for optimization
This implementation uses Backpropagation Neural Networks to classify different land cover types in remote sensing images based on input sample values, followed by area calculation for each classified category using pixel counting and spatial analysis algorithms.
MATLAB-based BP Neural Network Implementation for Remote Sensing Image Classification with Code Optimization Techniques
Implementation of remote sensing image classification using BP neural networks, featuring spectral feature extraction of ten land cover types from Chongming Dongtan samples, BP network training, and classification deployment
A remote sensing image classification program for Chongming Island based on the Bayesian Minimum Error Rate algorithm, featuring implementation of probability density estimation and decision theory, with pie chart visualization of land cover type proportions.
A MATLAB-based tool for remote sensing image classification using K-means clustering. This implementation processes multiple remote sensing images to perform clustering segmentation of different terrain types. The algorithm demonstrates effective classification performance with clear code structure and comprehensive comments. Ideal for researchers and students working on image segmentation tasks.
BP Neural Network for Remote Sensing Image Classification with Implementation Insights