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20182024
most citedFusion of Dual Spatial Information for Hyperspectral Image Classification

141 citations · 181 across the 6 of their papers we have counts for

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cs.CV2024

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

Elias Arbash, Margret Fuchs, Behnood Rasti +3

Addressing the critical theme of recycling electronic waste (E-waste), this contribution is dedicated to developing advanced automated data processing pipelines as a basis for deci…

cs.CV2023★ 2 cited

Masking Hyperspectral Imaging Data with Pretrained Models

Elias Arbash, Andréa de Lima Ribeiro, Sam Thiele +5

The presence of undesired background areas associated with potential noise and unknown spectral characteristics degrades the performance of hyperspectral data processing. Masking o…

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…

cs.CV2023★ 17 cited

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences

Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy +6

The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop…

cs.CV2022★ 8 cited

HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package

Daniel Coquelin, Behnood Rasti, Markus Götz +3

As with any physical instrument, hyperspectral cameras induce different kinds of noise in the acquired data. Therefore, Hyperspectral denoising is a crucial step for analyzing hype…

cs.CV2020★ 141 cited

Fusion of Dual Spatial Information for Hyperspectral Image Classification

Puhong Duan, Pedram Ghamisi, Xudong Kang +3

The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms of classification performance.…