168 citations · 168 across the 4 of their papers we have counts for
4 papers
MiSiSUn: Minimum Simplex Semisupervised Unmixing
Behnood Rasti, Bikram Koirala, Paul Scheunders
This paper proposes a semisupervised geometric unmixing approach called minimum simplex semisupervised unmixing (MiSiSUn). The geometry of the data was incorporated for the first t…
A Tractable Two-Step Linear Mixing Model Solved with Second-Order Optimization for Spectral Unmixing under Variability
Xander Haijen, Bikram Koirala, Xuanwen Tao +1
In this paper, we propose a Two-Step Linear Mixing Model (2LMM) that bridges the gap between model complexity and computational tractability. The model achieves this by introducing…
A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures
Bikram Koirala, Behnood Rasti, Zakaria Bnoulkacem +11
Optical hyperspectral cameras capture the spectral reflectance of materials. Since many materials behave as heterogeneous intimate mixtures with which each photon interacts differe…
Deep Hyperspectral Unmixing using Transformer Network
Preetam Ghosh, Swalpa Kumar Roy, Bikram Koirala +2
Currently, this paper is under review in IEEE. Transformers have intrigued the vision research community with their state-of-the-art performance in natural language processing. Wit…