主要
成果和奖惩情况
| 1.Jiao, H., Zhong, Y., Zhang, L., Artificial DNA Computing-Based Spectral Encoding and Matching Algorithm for Hyperspectral Remote Sensing Data, IEEE Trans. on Geoscience and Remote Sensing , Vol.50, No.10, PP.4085-4104, 2012. (SCI检索)
2.Jiao, H., Zhong, Y., Zhang, L., Li, P., Unsupervised remote sensing image classification using an artificial DNA computing, 2011 7th International Conference on Natural Computation(ICNC 11), Shanghai, China, pp. 1366-1371. (EI检索)
3.焦洪赞，钟燕飞，张良培，李平湘，高光谱遥感数据的DNA计算分类，遥感学报. Vol.14, No. 05, pp. 865-878, 2010. (CSCD检索)
4.Jiao, H., Zhong, Y., Zhang, L., An Unsupervised Spectral Matching Classifier Based on Artificial DNA Computing for Hyperspectral Remote Sensing Imagery, IEEE Trans. on Geoscience and Remote Sensing, vol. 25, no.8, 2014.(SCI检索)
5.Jiao Hongzan, Zhong Yanfei, Zhang Liangpei, Li Pingxiang, Subspace Clustering based on Decision Fusion Strategy for Hyperspectral Imagery, IEEE International Geoscience and Remote Sensing Symposium Melbourne, Australia, 2013.（EI检索）
6.Hongzan Jiao, Ming Zhang and Mu Lin，Land Use Optimization for Corridor Transit Oriented Development based on Genetic Algorithm，The 2014 IACP Conference at Guangzhou, China, 2014.
7.Hongzan Jiao, Yali Luo and Ming Zhang, Cellular Automata Model with Logistic Regression for the Urban Expansion Simulation，The 2014 IACP Conference at Guangzhou, China, 2014.
1.自然科学基金青年基金2015年01月--2017年12月，资助号：41401400，基于深度学习的精细化高光谱特征表达与匹配方法，项目负责人
2.中国博士后基金面上项目，一等资助，2014年9月—2015年9月，资助号2014M550409-131876，高光谱遥感数据人工DNA计算光谱匹配理论与方法研究，项目负责人。
3.中央高校基本科研业务费专项资金青年教师资助项目，2014年1月—2015年12月，基于DNA计算的城市高光谱遥感匹配聚类方法，项目负责人。
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