3 papers
eess.IV2026
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…
eess.IV2025
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…
cs.CV2023
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…