Các bài viết có thể truy cập công khai - Paul GaderTìm hiểu thêm
Không có ở bất kỳ nơi nào: 4
Classifying California plant species temporally using airborne hyperspectral imagery
SK Meerdink, DA Roberts, KL Roth, JY King, PD Gader, A Koltunov
Remote Sensing of Environment 232, 111308, 2019
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor
S Meerdink, D Roberts, G Hulley, P Gader, J Pisek, K Adamson, J King, ...
Remote Sensing of Environment 224, 421-435, 2019
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
One-class Gaussian process for possibilistic classification using imaging spectroscopy
L Kalantari, P Gader, S Graves, SA Bohlman
IEEE Geoscience and Remote Sensing Letters 13 (7), 967-971, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Cross-validating Gaussian process methods for hyperspectral data from tree crowns
L Kalantari, P Gader
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
Các cơ quan ủy nhiệm: US National Science Foundation
Có tại một số nơi: 12
A signal processing perspective on hyperspectral unmixing: Insights from remote sensing
WK Ma, JM Bioucas-Dias, TH Chan, N Gillis, P Gader, AJ Plaza, ...
IEEE Signal Processing Magazine 31 (1), 67-81, 2013
Các cơ quan ủy nhiệm: Research Grants Council, Hong Kong
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing
Y Zhou, A Rangarajan, PD Gader
IEEE Transactions on Image Processing 27 (5), 2242-2256, 2018
Các cơ quan ủy nhiệm: US National Science Foundation
Hypso-1 cubesat: First images and in-orbit characterization
S Bakken, MB Henriksen, R Birkeland, DD Langer, AE Oudijk, S Berg, ...
Remote Sensing 15 (3), 755, 2023
Các cơ quan ủy nhiệm: Research Council of Norway
An integrated approach to registration and fusion of hyperspectral and multispectral images
Y Zhou, A Rangarajan, PD Gader
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3020-3033, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
Comparison of methods for modeling fractional cover using simulated satellite hyperspectral imager spectra
PE Dennison, Y Qi, SK Meerdink, RF Kokaly, DR Thompson, ...
Remote Sensing 11 (18), 2072, 2019
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Hyperspectral unmixing with endmember variability via alternating angle minimization
R Heylen, A Zare, P Gader, P Scheunders
IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4983-4993, 2016
Các cơ quan ủy nhiệm: US National Science Foundation
Interactive thyroid whole slide image diagnostic system using deep representation
P Chen, X Shi, Y Liang, Y Li, L Yang, PD Gader
Computer methods and programs in biomedicine 195, 105630, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Unmixing urban hyperspectral imagery using probability distributions to represent endmember variability
Y Zhou, EB Wetherley, PD Gader
Remote Sensing of Environment 246, 111857, 2020
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration, Belgian Science Policy Office
Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion
P Chen, Y Liang, X Shi, L Yang, P Gader
Neurocomputing 453, 312-325, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health
Multitarget multiple-instance learning for hyperspectral target detection
S Meerdink, J Bocinsky, A Zare, N Kroeger, C McCurley, D Shats, P Gader
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
Các cơ quan ủy nhiệm: US Department of Defense
Hyperspectral tree crown classification using the multiple instance adaptive cosine estimator
S Zou, P Gader, A Zare
PeerJ 7, e6405, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Energy, Gordon and Betty …
Shared manifold learning using a triplet network for multiple sensor translation and fusion with missing data
A Dutt, A Zare, P Gader
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
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