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Disambiguation of "Zhang, Puzhao"

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Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (4): 2277-2289 (2019)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)

Yan Zhang

Yue Zhang

Gang Zhang

 

Other publications of authors with the same name

Deep learning and mapping based ternary change detection for information unbalanced images., , , , , and . Pattern Recognit., (2017)Efficient Scene Labeling via Sparse Annotations., , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 194-201. AAAI Press, (2018)Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis., , , , and . IJCNN, page 1269-1276. IEEE, (2016)Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (4): 2277-2289 (2019)JL-GFDN: A Novel Gabor Filter-Based Deep Network Using Joint Spectral-Spatial Local Binary Pattern for Hyperspectral Image Classification., , , , and . Remote. Sens., 12 (12): 2016 (2020)Unsupervised Geospatial Domain Adaptation for Large-Scale Wildfire Burned Area Mapping Using Sentinel-2 MSI and Sentinel-1 SAR Data., and . IGARSS, page 5742-5745. IEEE, (2023)Coupled Dictionary Learning for Change Detection From Multisource Data., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 7077-7091 (2016)DNN-Based Joint Classification for Multi-source Image Change Detection., , , and . BIC-TA (1), volume 681 of Communications in Computer and Information Science, page 425-430. Springer, (2016)Beyond Pixel-Wise Unmixing: Spatial-Spectral Attention Fully Convolutional Networks for Abundance Estimation., and . Remote. Sens., 15 (24): 5694 (December 2023)A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images., , , and . IEEE Trans. Neural Networks Learn. Syst., 29 (3): 545-559 (2018)