Research Interests
With the rapid development of remote sensing sensor networks, massive volumes of remote sensing images can be now obtained every day. However, due to the technical limitations of the sensors and other factors, the existing optical remote sensing sensors have to make a fundamental tradeoff between the spatial, temporal, and spectral resolutions, which greatly limits the potential applications of remote sensing images. To overcome the limitations of the remote sensors and optics manufacturing technology, super-resolution image reconstruction and remote sensing image fusion have proven to be very promising in obtaining high-resolution images from the observed single image or multiple low-resolution images. My current main research is based on convolutional sparse coding theory and non-parametric Bayesian theory, by introducing prior knowledge or using regularization methods to constrain the solution space to solve ill-posed problems, and develop more effective super-resolution reconstruction algorithms and image fusion algorithms to improve the super-resolution reconstruction accuracy and fusion accuracy, and obtain better quality remote sensing satellite images.
Education
- MSc, Photogrammetry and Remote sensing, Chengdu University of Technology Geomatics Engineering (Chengdu), 2012
- BSc, Geomatics Engineering, Chengdu University of Technology Geomatics Engineering (Chengdu), 2009
Publications
- Chen N, Zhang B, 2021. Multi-scale Semi-coupled Convolutional Sparse Coding for the Super-resolution Reconstruction of Remote Sensing Image. Journal of Computer-Aided Design Computer Graphics. Under review.
- Chen N, Sui L C, Zhang B, Junior J M, *Li J, 2020. Single satellite imagery super-resolution reconstruction based on hybrid non-local similarity convolution sparse coding. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI:10.1109/JSTARS.2020.3028774.
- Sui L C, Ma F, Chen N, 2020. Mining subsidence prediction by combining support vector machine regression and interferometric synthetic aperture radar data. ISPRS International Journal of Geo-Information, vol. 9, no.390.
- Chen N, Zhang B, 2020. Research on adaptive topology relation in DLG Data Updating. Bulletin of Surveying and Mapping. vol. 0, no. 11, pp. 99-103.
- Chen N, Zhang B, 2020. Research on automatic line-changing of point map annotation based on Chinese word segmentation. Engineering of Surveying and Mapping. vol. 29, no. 4, pp. 21-26.
- Sui L C, Li L, Li J, Chen N, and Jiao Y, 2019. Fusion of hyperspectral and multispectral images based on a Bayesian nonparametric approach, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 12, no. 4, pp. 1205-1218.
- Chen N, Chen X G, Xu M Y, 2016. Application of Interactive Voice Response Technology in GIS Graphic System. Standardization of Surveying and Mapping. vol. 32, no. 2, pp. 28-30.