Techniques

Interests

Projects

rsreader: reading remote sensing data for deep learning frameworks.

Publications

Chen, K.; Gao, X.; Yan, M.; Zhang, Y.; Sun, X. (2019). Building Extraction in Pixel Level from Aerial Imagery with Deep Convolutional Neural Networks. Journal of Remote Sensing, vol. xx, pp.xx. (accepted)

Chen, K.; Fu, K.; Gao, X.; Yan, M.; Zhang, W.; Zhang, Y.; Sun, X. (2019). Effective Fusion of Multi-Modal Data with Group Convolutions for Semantic Segmentation of Aerial Imagery. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Yokohama, Japan; pp.3911-3914. doi:10.1109/IGARSS.2019.8899217

Jing, H.; Feng, Y.; Zhang, W.; Zhang, Y.; Wang, S.; Fu, K.; Chen, K. (2019). Effective Classification of Local Climate Zones Based on Multi-Source Remote Sensing Data. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Yokohama, Japan; pp.2666-2669. doi:10.1109/IGARSS.2019.8898475

Chen, K.; Weinmann, M.; Sun, X.; Yan, M.; Hinz, S.; Jutzi, B.; Weinmann, M. (2018). Semantic Segmentation of Aerial Imagery via Multi-Scale Shuffling Convolutional Neural Networks with Deep Supervision. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences; Karlsruhe, Germany; vol. IV-1, pp.29-36. doi:10.5194/isprs-annals-IV-1-29-2018

Chen, K.; Weinmann, M.; Gao, X.; Yan, M.; Hinz, S.; Jutzi, B.; Weinmann, M. (2018). Residual Shuffling Convolutional Neural Networks for Deep Semantic Image Segmentation Using Multi-Modal Data. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences; Riva del Garda, Italy; vol. IV-2, pp.65-72. doi:10.5194/isprs-annals-IV-2-65-2018

Chen, K.; Fu, K.; Sun, X.; Weinmann, M.; Hinz, S.; Jutzi, B.; Weinmann, M. (2018). Deep Semantic Segmentation of Aerial Imagery Based on Multi-Modal Data. 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia (IGARSS); Valencia, Spain; pp.6219-6222. doi:10.1109/IGARSS.2018.8519225

Chen, K.; Fu, K.; Yan, M.; Gao, X.; Sun, X.; Wei, X. (2018). Semantic Segmentation of Aerial Images With Shuffling Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 2, pp.173-177. doi:10.1109/LGRS.2017.2778181

Wei, X.; Fu, K.; Gao, X.; Yan, M.; Sun, X.; Chen, K.; Sun, H. (2018). Semantic Pixel Labelling in Remote Sensing Images Using a Deep Convolutional Encoder-Decoder Model. Remote Sensing Letters, vol. 9, no. 3, pp.199-208. doi:10.1080/2150704X.2017.1410291

Zhang, H.; Lei, H.; Chen, K. (2018). Application of densely connected deconvolutional neural network in building extraction from remote sensing images. Computer Engineering and Applications, vol. 54, no. 11, pp.140-144,152. doi:10.3778/j.issn.1002-8331.1701-0316

Chen, K.; Fu, K.; Gao, X.; Yan, M.; Sun, X.; Zhang, H. (2017). Building extraction from remote sensing images with deep learning in a supervised manner. 2017 IEEE International Geoscience and Remote Sensing Symposium, Valencia (IGARSS); Fort Worth, TX, USA; pp.1672-1675. doi:10.1109/IGARSS.2017.8127295

Zhang, Y.; Sun, X.; Fu, K.; Chen, K.; Wang, H. (2017). Flat-roofed building reconstruction based on layover modelling and MCMC method. 2017 IEEE International Geoscience and Remote Sensing Symposium, Valencia (IGARSS); Fort Worth, TX, USA; pp.2287-2290. doi:10.1109/IGARSS.2017.8127446

Reviewer Activity

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)

IEEE Geoscience and Remote Sensing Letters (GRSL)

IEEE Transactions on Cybernectics

IEEE Access

ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany

notes

git: notes on git usage