Guo Cao

发表

Unsupervised change detection in high spatial resolution remote sensing images based on a conditional random field model

Guo Cao, Xuesong Li, L. Zhou, 2016 .

Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Zia Khan, Guo Cao, Ayesha Shafique, 2022, Remote Sensing.

Iterative Nonlocal Total Variation Regularization Method for Image Restoration

Guo Cao, Quansen Sun, Deshen Xia, 2013, PloS one.

Tittle : A novel ensemble method for k-nearest neighbor Author order :

Guo Cao, Youqiang Zhang, Bisheng Wang, 2018 .

Region Competition Based Active Contour for Image Partitioning

Quansen Sun, Guo Cao, Yuan Mei, 2009, 2009 Chinese Conference on Pattern Recognition.

An effective level set image segmentation by Joint local kernelized model and global Chan-Vese model

Yu Qian, Guo Cao, Xuesong Li, 2015, 2015 IEEE International Conference on Progress in Informatics and Computing (PIC).

A New Method for Rapid Detection of Fingerprints’Singular Points: A New Method for Rapid Detection of Fingerprints’Singular Points

Guo Cao, Yuan Mei, Quansen Sun, 2009 .

EPLL image restoration with a bounded asymmetrical Student's-t mixture model

Guo Cao, Youqiang Zhang, Peng Fu, 2022, J. Vis. Commun. Image Represent..

Active Semi-Supervised Random Forest for Hyperspectral Image Classification

Guo Cao, Xuesong Li, Youqiang Zhang, 2019, Remote. Sens..

H2A2Net: A Hybrid Convolution and Hybrid Resolution Network with Double Attention for Hyperspectral Image Classification

Peng Fu, Guo Cao, Youqiang Zhang, 2022, Remote. Sens..

Hyperspectral classification via deep networks and superpixel segmentation

M. Siegel, Quansen Sun, Guo Cao, 2015 .

A spatially constrained generative asymmetric Gaussian mixture model for image segmentation

Zexuan Ji, Quan-Sen Sun, Guo Cao, 2016, J. Vis. Commun. Image Represent..

Interval-valued possibilistic fuzzy C-means clustering algorithm

Zexuan Ji, Yong Xia, Quan-Sen Sun, 2014, Fuzzy Sets Syst..

Adaptive Nonnegative Sparse Representation for Hyperspectral Image Super-Resolution

Guo Cao, Zixian Ge, Peng Fu, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Dual Sparse Representation Graph-Based Copropagation for Semisupervised Hyperspectral Image Classification

Guo Cao, Youqiang Zhang, Bisheng Wang, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Label Propagation Ensemble for Hyperspectral Image Classification

Guo Cao, Peng Fu, Youqiang Zhang, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A systematic gradient-based method for the computation of fingerprint's orientation field

Guo Cao, Huaijiang Sun, Yuan Mei, 2012, Comput. Electr. Eng..

EPLL image denoising with multi-feature dictionaries

Peng Fu, Guo Cao, Youqiang Zhang, 2023, Digital Signal Processing.

A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation

Yuhui Zheng, Zexuan Ji, Guo Cao, 2017, PloS one.

A novel ensemble method for k-nearest neighbor

Guo Cao, Xuesong Li, Youqiang Zhang, 2019, Pattern Recognit..

Change Detection Based on Conditional Random Field With Region Connection Constraints in High-Resolution Remote Sensing Images

Yupeng Li, Guo Cao, Licun Zhou, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Automatic change detection in high-resolution remote-sensing images by means of level set evolution and support vector machine classification

Yupeng Li, Guo Cao, Yanfeng Shang, 2014 .

Compound Multiscale Weak Dense Network with Hybrid Attention for Hyperspectral Image Classification

Guo Cao, Zixian Ge, Peng Fu, 2021, Remote. Sens..

Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion

Peng Fu, Zixian Ge, Guo Cao, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Active contours driven by local likelihood image fitting energy for image segmentation

Qiang Chen, Zexuan Ji, Yong Xia, 2015, Inf. Sci..

Combining synthesis sparse with analysis sparse for single image super-resolution

Guo Cao, Xuesong Li, Peng Fu, 2020, Signal Process. Image Commun..

Active contours driven by non-local Gaussian distribution fitting energy for image segmentation

Guo Cao, Xuesong Li, Yupeng Li, 2018, Applied Intelligence.

A novel local region-based active contour model for image segmentation using Bayes theorem

Yupeng Li, Guo Cao, Tao Wang, 2020, Inf. Sci..

Agreement and Disagreement-Based Co-Learning with Dual Network for Hyperspectral Image Classification with Noisy Labels

Guo Cao, Xuesong Li, Youqiang Zhang, 2023, Remote. Sens..

Multiview-Based Random Rotation Ensemble Pruning for Hyperspectral Image Classification

Guo Cao, Xuesong Li, Youqiang Zhang, 2021, IEEE Transactions on Instrumentation and Measurement.

Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification

Guo Cao, Zixian Ge, Peng Fu, 2021, Remote. Sens..

A new difference image creation method based on deep neural networks for change detection in remote-sensing images

Guo Cao, Di Yang, Jane Southworth, 2017 .

Fast and Robust Active Contours Model for Image Segmentation

Guo Cao, Qian Yu, Xuesong Li, 2018, Neural Processing Letters.

Optical aerial image partitioning using level sets based on modified Chan-Vese model

Xin Yang, Guo Cao, Deshen Xia, 2008, Pattern Recognit. Lett..

Automatic change detection in remote sensing images using level set method with neighborhood constraints

Guo Cao, Yazhou Liu, Yanfeng Shang, 2014 .

A new change-detection method in high-resolution remote sensing images based on a conditional random field model

Guo Cao, Licun Zhou, Yupeng Li, 2016 .

Single image super-resolution via adaptive sparse representation and low-rank constraint

Guo Cao, Xuesong Li, Youqiang Zhang, 2018, J. Vis. Commun. Image Represent..

Active contours driven by non-local Gaussian distribution fitting energy for image segmentation

Yupeng Li, Guo Cao, Qian Yu, 2018, Applied Intelligence.

Hyperspectral image classification based on dual-branch attention network with 3-D octave convolution

Guo Cao, Qikun Pan, Ling Xu, 2022, International Conference on Digital Image Processing.

Sparse Representation Graph for Hyperspectral Image Classification Assisted by Class Adjusted Spatial Distance

Guo Cao, Yunfei Wang, Siqi Luo, 2020, Applied Sciences.

Hyperspectral image classification based on spectral spatial feature extraction and deep rotation forest ensemble with AdaBoost

Hao Xu, Yanfeng Shang, Guo Cao, 2023, International Conference on Graphic and Image Processing.

Cascaded Random Forest for Hyperspectral Image Classification

Guo Cao, Xuesong Li, Youqiang Zhang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A lightweight convolution network with self-knowledge distillation for hyperspectral image classification

Yanfeng Shang, Guo Cao, Qikun Pan, 2023, International Conference on Graphic and Image Processing.

Adaptive Hash Attention and Lower Triangular Network for Hyperspectral Image Classification

Guo Cao, Zixian Ge, Peng Fu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

A new method for false-positive reduction in detection of lung nodules in CT images

Kenji Suzuki, Guo Cao, Yazhou Liu, 2014, 2014 19th International Conference on Digital Signal Processing.

F3Net: Fast Fourier Filter Network for Hyperspectral Image Classification

Guo Cao, Di Yang, Youqiang Zhang, 2023, IEEE Transactions on Instrumentation and Measurement.

Single-column CNN for crowd counting with pixel-wise attention mechanism

Guo Cao, Licun Zhou, Xuesong Li, 2018, Neural Computing and Applications.