张建
Name (Simplified Chinese):张建
Name (Pinyin):zhangjian
Professional Title:Professor
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:武汉大学
Teacher College:College of Resources & Environment
School/Department:资源与环境学院
Other Contact Information:
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Paper Publications
- Li Z, Xie J, Zhang J*. Three dimensional (3D) distribution calculation of chlorophyll in rice based on infrared imaging technique[C]//International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications. International Society for Optics and Photonics, 2014, 9300: 93002H..
- Song H, Yang C, Zhang J, He D, Thomasson J A.Combining fuzzy set theory and nonlinear stretching enhancement for unsupervised classification of cotton root rot[J]. Journal of Applied Remote Sensing, 2015, 9(1):096013..
- Zhang J, Yang C, Song H, Hoffmann W C, Zhang D, Zhang G. Evaluation of an airborne remote sensing platform consisting of two consumer-grade cameras for crop identification[J]. Remote Sensing, 2016, 8(3): 257. .
- Song H, Yang C, Zhang J, Hoffmann W C, He D, Thomasson J A. Comparison of mosaicking techniques for airborne images from consumer-grade cameras[J]. Journal of Applied Remote Sensing, 2016, 10(1):016030..
- 赵必权,丁幼春,蔡晓斌,谢静,廖庆喜,张建*.基于低空无人机遥感技术的油菜机械直播苗期株数识别[J].农业工程学报,2017,33(19):115-123. (EI检索).
- Zhang J, Yang C, Zhao B, Song H, Clint Hoffmann W, Shi Y, Zhang D, Zhang G. Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras[J]. Remote Sensing, 2017, 9, 1054..
- 赵琨, 王珺珂, 王楚锋, 谢田晋, 张建*. 基于高光谱成像技术的油菜 SPAD 值空间分布预测及最佳测量叶位. 华中农业大学学报. 2018,4:012. (CSCD检索).
- 王楚锋, 王天一, 廖世鹏, 张东彦, 谢静, 张建*. 基于低空遥感的消费级相机油菜苗期长势监测最优波段选取. 华中师范大学学报 (自然科学版).2018,52(4):565-73. (CSCD检索).
- Wang X, Yang C, Zhang J, Song H. Image dehazing based on dark channel prior and brightness enhancement for agricultural monitoring. International Journal of Agricultural and Biological Engineering. 2018,11(2), 170-176..
- Zhang, J., Wang, X., Yang, C., Zhang, J., He, D. and Song, H. Image dehazing based on dark channel prior and brightness enhancement for agricultural remote sensing images from consumer-grade cameras. Computers and Electronics in Agriculture. 2018, 151, pp.196-206..
