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Remote sensing
Multispectral and hyperspectral satellite and aerial image processing and analysis
MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
B. Rasti
,
Koirala, B.
,
Scheunders, P.
, and
Chanussot, J.
,
“
MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 60, no. 5522815, 2022.
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DOI
BibTeX
Files:
misicnet_ieee_tgrs_author_version.pdf
Identification of corrosion minerals usning shortwave infrared hyperspectral imaging
T. De Kerf
,
Pipintakos, G.
,
Zahiri, Z.
,
Vanlanduit, S.
, and
Scheunders, P.
,
“
Identification of corrosion minerals usning shortwave infrared hyperspectral imaging
”
,
Sensors
, vol. 22, no. 1, p. 407, 2022.
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BibTeX
Files:
sensors-22-00407-v2.pdf
Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm
K. Rafiezadeh Sahi
,
Ghamisi, P.
,
Rasti, B.
,
Scheunders, P.
, and
Gloaguen, R.
,
“
Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm
”
,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
, vol. 15, pp. 284-296, 2022.
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DOI
BibTeX
Files:
mdc_jstars-final_version.pdf
Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition
M. Zare
,
M. Helfroush, S.
,
Kazemi, K.
, and
Scheunders, P.
,
“
Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition
”
,
Remote Sensing
, vol. 13, no. 2930, 2021.
Google Scholar
DOI
BibTeX
Files:
remotesensing-13-02930.pdf
UnDIP: hyperspectral unmixing using deep image prior
B. Rasti
,
Koirala, B.
,
Scheunders, P.
, and
Ghamisi, P.
,
“
UnDIP: hyperspectral unmixing using deep image prior
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 60, pp. 1-15, 2021.
Google Scholar
DOI
BibTeX
Files:
manuscript.pdf
Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
K. Rafiezadeh Sahi
,
Ghamisi, P.
,
Rasti, B.
,
Jackisch, R.
,
Scheunders, P.
, and
Gloaguen, R.
,
“
Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
”
,
Remote Sensing
, vol. 12 (23), no. 4007, 2020.
Google Scholar
BibTeX
Files:
remotesensing-12-04007-v2.pdf
Robust supervised method for nonlinear spectral unmixing accounting for endmember variability
B. Koirala
,
Zahiri, Z.
,
Lamberti, A.
, and
Scheunders, P.
,
“
Robust supervised method for nonlinear spectral unmixing accounting for endmember variability
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 59, no. 9, pp. 7434-7448, 2021.
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DOI
BibTeX
Files:
ieee_version.pdf
Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms
T. Hu
,
Li, W.
,
Liu, N.
,
Tao, R.
,
Zhang, F.
, and
Scheunders, P.
,
“
Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 59, no. 2, pp. 1516-1533, 2021.
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BibTeX
Files:
tgrs_2020.pdf
How Hyperspectral Image Unmixing and Denoising Can Boost Each Other
B. Rasti
,
Koirala, B.
,
Scheunders, P.
, and
Ghamisi, P.
,
“
How Hyperspectral Image Unmixing and Denoising Can Boost Each Other
”
,
Remote Sensing
, vol. 12, no. 1728, 2020.
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DOI
BibTeX
Files:
remotesensing-12-01728.pdf
A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements
B. Koirala
,
Zahiri, Z.
, and
Scheunders, P.
,
“
A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 58, no. 10, pp. 7393-7405, 2020.
Google Scholar
DOI
BibTeX
Files:
final_version_leaf_parameter_estimation.pdf
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