Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification

Abstract

Reforming the architecture of a granular neural network (GNN) with varying input information further improves its operational transparency in the classification of land use/land cover of remote sensing data. Recently, an evolving GNN (eGNN) has been originated with an advancement to the GNN that has the ability to explore and accommodate input information… (More)

18 Figures and Tables

Cite this paper

@article{Kumar2017KnowledgeBasedPG, title={Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification}, author={D. Arun Kumar and Saroj K. Meher and K. Padma Kumari}, journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, year={2017}, volume={10}, pages={5201-5212} }