Folgen
Xiao Xiang Zhu
Titel
Zitiert von
Zitiert von
Jahr
Deep learning in remote sensing: A comprehensive review and list of resources
XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer
IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36, 2017
20762017
Deep recurrent neural networks for hyperspectral image classification
L Mou, P Ghamisi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3639-3655, 2017
8952017
Tomographic SAR inversion by L1-norm regularization—The compressive sensing approach
XX Zhu, R Bamler
Geoscience and Remote Sensing, IEEE Transactions on 48 (10), 3839-3846, 2010
5182010
An augmented linear mixing model to address spectral variability for hyperspectral unmixing
D Hong, N Yokoya, J Chanussot, XX Zhu
IEEE Transactions on Image Processing 28 (4), 1923-1938, 2018
5012018
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence, 2021
4932021
Very high resolution spaceborne SAR tomography in urban environment
XX Zhu, R Bamler
IEEE Transactions on Geoscience and Remote Sensing 48 (12), 4296-4308, 2010
4642010
A sparse image fusion algorithm with application to pan-sharpening
XX Zhu, R Bamler
IEEE transactions on geoscience and remote sensing 51 (5), 2827-2836, 2012
4122012
Learning spectral-spatial-temporal features via a recurrent convolutional neural network for change detection in multispectral imagery
L Mou, L Bruzzone, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (2), 924-935, 2019
3422019
Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR
XX Zhu, R Bamler
IEEE Transactions on Geoscience and Remote Sensing 50 (1), 247-258, 2011
3252011
Linking points with labels in 3D: A review of point cloud semantic segmentation
Y Xie, J Tian, XX Zhu
IEEE Geoscience and remote sensing magazine 8 (4), 38-59, 2020
2512020
Building instance classification using street view images
J Kang, M Körner, Y Wang, H Taubenböck, XX Zhu
ISPRS journal of photogrammetry and remote sensing 145, 44-59, 2018
2382018
A survey of uncertainty in deep neural networks
J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ...
arXiv preprint arXiv:2107.03342, 2021
2302021
Unsupervised spectral–spatial feature learning via deep residual Conv–Deconv network for hyperspectral image classification
L Mou, P Ghamisi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 391-406, 2017
2242017
Data fusion and remote sensing: An ever-growing relationship
M Schmitt, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 4 (4), 6-23, 2016
2152016
Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
M Wurm, T Stark, XX Zhu, M Weigand, H Taubenböck
ISPRS journal of photogrammetry and remote sensing 150, 59-69, 2019
2122019
Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
D Hong, N Yokoya, N Ge, J Chanussot, XX Zhu
ISPRS journal of photogrammetry and remote sensing 147, 193-205, 2019
1922019
Invariant attribute profiles: A spatial-frequency joint feature extractor for hyperspectral image classification
D Hong, X Wu, P Ghamisi, J Chanussot, N Yokoya, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3791-3808, 2020
1912020
CoSpace: Common subspace learning from hyperspectral-multispectral correspondences
D Hong, N Yokoya, J Chanussot, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4349-4359, 2019
1632019
Hyperspectral and LiDAR data fusion using extinction profiles and deep convolutional neural network
P Ghamisi, B Höfle, XX Zhu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
1602016
SEN12MS--A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
M Schmitt, LH Hughes, C Qiu, XX Zhu
arXiv preprint arXiv:1906.07789, 2019
1562019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20