Peicheng Zhou
Orcid: 0000-0003-2468-3128
According to our database1,
Peicheng Zhou
authored at least 18 papers
between 2014 and 2024.
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Bibliography
2024
Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization.
Remote. Sens., September, 2024
IEEE Trans. Circuits Syst. Video Technol., 2024
AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
IEEE Trans. Geosci. Remote. Sens., 2023
IEEE Trans. Geosci. Remote. Sens., 2023
2020
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning.
CoRR, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection.
IEEE Trans. Image Process., 2019
Learning Compact and Discriminative Stacked Autoencoder for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
2018
IEEE Trans. Image Process., 2018
2016
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2016
Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping.
Multidimens. Syst. Signal Process., 2016
Semantic annotation of satellite images via joint multi-feature learning with diversity constraint.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Scene classification of high resolution remote sensing images using convolutional neural networks.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images.
IET Comput. Vis., 2015
Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015
2014
Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014