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Chenying Liu
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Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines
L He, J Li, C Liu, S Li
IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1579-1597, 2017
5242017
Naive gabor networks for hyperspectral image classification
C Liu, J Li, L He, A Plaza, S Li, B Li
IEEE Transactions on Neural Networks and Learning Systems 32 (1), 376-390, 2020
582020
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification
C Liu, J Li, L He
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
562019
Feature-driven active learning for hyperspectral image classification
C Liu, L He, Z Li, J Li
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 341-354, 2018
492018
SSL4EO-S12: A large-scale multimodal, multitemporal dataset for self-supervised learning in Earth observation [Software and Data Sets]
Y Wang, NAA Braham, Z Xiong, C Liu, CM Albrecht, XX Zhu
IEEE Geoscience and Remote Sensing Magazine 11 (3), 98-106, 2023
402023
Hyperspectral Image Spectral–Spatial-Range Gabor Filtering
L He, C Liu, J Li, Y Li, S Li, Z Yu
IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4818-4836, 2020
252020
Phase-Induced Gabor-Based Multiview Active Learning for Hyperspectral Image Classification
R Cai, C Liu, J Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
72021
Monitoring urban forests from auto-generated segmentation maps
CM Albrecht, C Liu, Y Wang, L Klein, XX Zhu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
52022
DeCUR: decoupling common & unique representations for multimodal self-supervision
Y Wang, CM Albrecht, NAA Braham, C Liu, Z Xiong, XX Zhu
arXiv preprint arXiv:2309.05300, 2023
42023
Efficient phase-induced gabor cube selection and weighted fusion for hyperspectral image classification
RL Cai, CY Liu, J Li
Science China Technological Sciences 65 (4), 778-792, 2022
32022
Semisupervised Discriminative Random Field for Hyperspectral Image Classification
B Liang, C Liu, J Li, A Plaza, JM Bioucas-Dias
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
32021
Peaks Fusion assisted Early-stopping Strategy for Overhead Imagery Segmentation with Noisy Labels
C Liu, CM Albrecht, Y Wang, XX Zhu
2022 IEEE International Conference on Big Data (Big Data), 4842-4847, 2022
22022
A New Spatio-Temporal Fusion Method for Remotely Sensed Data Based on Convolutional Neural Networks
Y Li, C Liu, L Yan, J Li, A Plaza, B Li
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
Accessibility-Free Active Learning for Hyperspectral Image Classification
C Liu, J Li, ME Paoletti, JM Haut, A Plaza, Q Shi
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
C Liu, CM Albrecht, Y Wang, Q Li, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing, 2024
2024
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation
C Liu, C Albrecht, Y Wang, XX Zhu
arXiv preprint arXiv:2402.16164, 2024
2024
DeepLCZChange: A REMOTE SENSING DEEP LEARNING MODEL ARCHITECTURE FOR URBAN CLIMATE RESILIENCECRediT
W Sun, Y Sun, C Liu, CM Albrecht
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
DeepLCZChange: A Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience
W Sun, Y Sun, C Liu, CM Albrecht
arXiv preprint arXiv:2306.06269, 2023
2023
Deep Semantic Model Fusion for Ancient Agricultural Terrace Detection
Y Wang, C Liu, A Tiwari, M Silver, A Karnieli, XX Zhu, CM Albrecht
2022 IEEE International Conference on Big Data (Big Data), 4888-4892, 2022
2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Y Wang, NAA Braham, Z Xiong, C Liu, CM Albrecht, XX Zhu
arXiv preprint arXiv:2211.07044, 2022
2022
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