关键词:基于草图的遥感影像检索、基于事件的遥感影像检索等等。
RSketch: Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning . F. Xu, W. Yang, T. Jiang, S. Lin, H. Luo, G.-S. Xia. IEEE Trans. on Geoscience and Remote Sensing (TGRS), Vol.58, No.11, pp.7801-7814, 2020. [paper] |
WHU-RS19: Structural high-resolution satellite image indexing . G.-S. Xia, W. Yang, J. Delon, Y. Gousseau. Symposium: 100 Years ISPRS - Advancing Remote Sensing Science: Vienna, Austria, 2010. [paper] [Project Page] |
Mental Retrieval of Remote Sensing Images via Adversarial Sketch-Image Feature Learning. F. Xu, W. Yang, T. Jiang, S. Lin, H. Luo, G.-S. Xia. IEEE Trans. on Geoscience and Remote Sensing (TGRS), Vol.58, No.11, pp.7801-7814, 2020. [paper] |
Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. F. Xu, R. Zhang, W. Yang, G.-S. Xia. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019. [paper] |
Retrieving aerial scene images with learned deep image-sketch features. T.-B Jiang, G.-S. Xia, Q. Lu, W. Shen. Journal of Computer Science and Technology (JCST), Vol. 32, No.4, pp. 726–737, 2017. [paper] |
Sketch-based aerial image retrieval . T. Jiang, G.-S. Xia, Q. Lu. IEEE International Conference on Image Processing (ICIP): Beijing, China, 2017. [paper] |
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation . X.-Y. Tong, G.-S. Xia, F. Hu, Y. Zhong, M. Datcu, L. Zhang. IEEE Trans. on Big Data, Vol. 6, No. 3, pp.507-521, 2020. [paper] |
Delving into Deep Representations for Remote Sensing Image Retrieval. F. Hu, X. Tong, G.-S. Xia and L. Zhang. IEEE International Conference on Signal Processing (ICSP), Chengdu, Sichuan, 2016. [paper] |
Matching Neuromorphic Events and Color Images via Adversarial Learning. F. Xu, S. Lin, W. Yang, L. Yu, D. Dai, G.-S. Xia. arXiv:2003.00636, 2020. [paper] |
Robust visible-infrared image matching by exploiting dominant edge orientations. H. Chen, N. Xue; Y. Zhang, Q. Lu, G.-S. Xia. Pattern Recognition Letter, Vol.127, No.11, pp.3-10, 2019. [paper] |