[1]Zhou J., Chen J., Chen X.*, Zhu X., Qiu, Y., Song, H., Rao, Y., Zhang C., Cao X., Cui X. (2021). Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction. Remote Sensing of Environment . 252, 112130
[2]Dong, Q.; Chen, X.*; Chen, J.; Zhang, C.; Liu, L.; Cao, X.; Zang, Y.; Zhu, X.; Cui, X. Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping. Remote Sensing, 2020, 12, 1274.
[3]Chen X., Liu M., Zhu X., Chen J.*, Zhong Y., Cao X. “Blend-then-Index" or" Index-then-Blend": A Theoretical Analysis for Generating High-resolution NDVI Time Series by STARFM. Photogrammetric Engineering & Remote Sensing, 2018, 84 (2), 65-73.
[4]Dong, Q., Chen, X.*, Chen, J., Yin, D., Zhang, C., Xu, F., Rao, Y., Shen, M., Chen, Y., Stein, A., 2022. Bias of area counted from sub-pixel map: Origin and correction. Science of Remote Sensing 6, 100069. http://doi.org/10.1016/j.srs.2022.100069
[5]Peng L., Chen X.*, Chen J., Zhao W. and Cao X. (2022). Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery. IEEE Transactions on Geoscience and Remote Sensing 60, Art no. 5407317.
[6]Zhou J., Chen J., Chen X.*, Zhu X., Qiu, Y., Song, H., Rao, Y., Zhang C., Cao X., Cui X. (2021). Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction. Remote Sensing of Environment . 252, 112130
[7]Chen X., Wang W., Chen J.*, Zhu X., Shen M., Gan L., Cao X. Does any phenological event defined by remote sensing deserve particular attention? An examination of spring phenology of winter wheat in Northern China. Ecological Indicators. 2020, 116, 106456.
[8]Dong, Q.; Chen, X.*; Chen, J.; Zhang, C.; Liu, L.; Cao, X.; Zang, Y.; Zhu, X.; Cui, X. Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping. Remote Sensing, 2020, 12, 1274.
[9]Chen, X., Guo, Z., Chen, J.*, Yang, W., Yao, Y., Zhang, C., Cui, X., & Cao, X. Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background. Remote Sensing, 2019, 11, 851.
[10]Chen X., Liu M., Zhu X., Chen J.*, Zhong Y., Cao X. “Blend-then-Index" or" Index-then-Blend": A Theoretical Analysis for Generating High-resolution NDVI Time Series by STARFM. Photogrammetric Engineering & Remote Sensing, 2018, 84 (2), 65-73.
[11]Yang D., Chen X.*, Chen J., Cao X. Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3), 1105-1116.
[12]Chen S., Chen X.*, Chen J., Jia P., Cao X., Liu C., An Iterative Haze Optimized Transformation for Automatic Cloud/Haze Detection of Landsat Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (5), 2682-2694.
[13]陈学泓, 曹鑫*, 廖安平, 陈利军, 彭舒, 陆苗, 陈晋, 张委伟, 张宏伟, 韩刚, 武昊, 李然. 全球 30m分辨率人造地表澳门·威斯尼斯网站制图研究. 中国科学：地球科学, 2016, DOI: 10.1360/N072015-00296
[14]Chen X., Chen J*., Shi Y., Yamaguchi Y. An automated approach for updating land cover maps based on integrated change detection and classification methods. ISPRS Journal of Photogrammetric and Remote Sensing, 2012, 71, 86-95.
[15]Chen X., Chen J.*, Jia X., Somers B., Wu J., Coppin P. A Quantitative Analysis of Virtual Endmembers’ Increased Impact on the Collinearity Effect in Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8), 2945-2956.
[16]Chen J.*, Chen X., Cui X., Chen J. Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2), 317-321.
