Random shuffling data for hyperspectral image classification with Siamese and Knowledge Distillation Network

• Main Authors: Yang, Zhen, Cao, Ying, Zhou, Xin, Liu, Junya, Zhang, Tao, Ji, Jinsheng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Local Contextual Information; Random Shuffling Strategy
• Online Access: https://hdl.handle.net/10356/171662
• Institution: Nanyang Technological University

Hyperspectral images (HSIs) are characterized by hundreds of spectral bands. The goal of HSI is to associate the pixel with a corresponding category label by analyzing subtle differences in the spectrum. Due to their excellent local context modeling capabilities, Convolutional Neural Network (CNN)-b...