no code implementations • 14 Feb 2024 • J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, XiaoLi Li
A novel online clustering algorithm is presented where an Evolving Restricted Boltzmann Machine (ERBM) is embedded with a Kohonen Network called ERBM-KNet.
no code implementations • 13 May 2022 • J. Senthilnath, Nagaraj G, Sumanth Simha C, Sushant Kulkarni, Meenakumari Thapa, Indiramma M, Jón Atli Benediktsson
A Bayesian Deep Restricted Boltzmann-Kohonen architecture for data clustering termed as DRBM-ClustNet is proposed.
1 code implementation • 15 Jan 2022 • Weiwei Song, Zhi Gao, Renwei Dian, Pedram Ghamisi, Yongjun Zhang, Jón Atli Benediktsson
In this paper, we propose a novel deep hashing method, named asymmetric hash code learning (AHCL), for RSIR.
no code implementations • 26 Oct 2019 • Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson
Specifically, we first summarize the main challenges of HSI classification which cannot be effectively overcome by traditional machine learning methods, and also introduce the advantages of deep learning to handle these problems.
no code implementations • 18 Oct 2013 • Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson
Hyperspectral images show similar statistical properties to natural grayscale or color photographic images.
no code implementations • IEEE Transactions on Geoscience and Remote Sensing 2013 • Xudong Kang, Shutao Li, Jón Atli Benediktsson
Feature extraction is known to be an effective way in both reducing computational complexity and increasing accuracy of hyperspectral image classification.