Linzhi Su
Orcid: 0000-0003-0090-8863
According to our database1,
Linzhi Su
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
PointStaClu: A Deep Point Cloud Clustering Method Based on Stable Cluster Discrimination.
Remote. Sens., July, 2024
Logarithmic total variation regularization via preconditioned conjugate gradient method for sparse reconstruction of bioluminescence tomography.
Comput. Methods Programs Biomed., January, 2024
IEEE Trans. Geosci. Remote. Sens., 2024
2023
PointJEM: Self-supervised Point Cloud Understanding for Reducing Feature Redundancy via Joint Entropy Maximization.
CoRR, 2023
K-CapsNet: K-Nearest Neighbor Based Convolution Capsule Network for Cerenkov Luminescence Tomography Reconstruction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2019
A Novel Stacked Denoising Autoencoder-Based Reconstruction Framework for Cerenkov Luminescence Tomography.
IEEE Access, 2019
2017
Deep learning and mapping based ternary change detection for information unbalanced images.
Pattern Recognit., 2017
2016
IEEE Trans. Geosci. Remote. Sens., 2016
Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery.
IEEE Geosci. Remote. Sens. Lett., 2016
Appl. Soft Comput., 2016
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
A memetic algorithm based on MOEA/D for near space communication system deployment optimization on tide user model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration.
IEEE Geosci. Remote. Sens. Lett., 2015
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems.
Appl. Soft Comput., 2015
2014
Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images.
IEEE Trans. Fuzzy Syst., 2014
A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014