This novel rice line is developed recently’by a research team led by Associate Prof QIU Baiqin, Crop Breeding and Cultivation Institute, Zhejiang Academy of Agricultural Sciences. Zhe 9248 is of high resistance to bl...This novel rice line is developed recently’by a research team led by Associate Prof QIU Baiqin, Crop Breeding and Cultivation Institute, Zhejiang Academy of Agricultural Sciences. Zhe 9248 is of high resistance to blast, early mature and of higher yield. Being soft, smooth, and glossy, the cooked rice of "Zhe 9248" has excellent eating quality. The kernels of "Zhe 9248" are hardened to such a degree that they could be capa-展开更多
The striping pattern nonuniformity of the infrared line scanner （IRLS） severely limits the system performance. An adaptive nonuniformity correction （NUC） algorithm for IRLS using neural network is proposed. It use...The striping pattern nonuniformity of the infrared line scanner （IRLS） severely limits the system performance. An adaptive nonuniformity correction （NUC） algorithm for IRLS using neural network is proposed. It uses a one-dimensional median filter to generate ideal output of network and can complete NUC by a single frame with a high correction level. Applications to both simulated and real infrared images show that the algorithm can obtain a satisfactory result with low complexity, no need of scene diversity or global motion between consecutive frames. It has the potential to realize real-time hardware-based applications.展开更多
文摘This novel rice line is developed recently’by a research team led by Associate Prof QIU Baiqin, Crop Breeding and Cultivation Institute, Zhejiang Academy of Agricultural Sciences. Zhe 9248 is of high resistance to blast, early mature and of higher yield. Being soft, smooth, and glossy, the cooked rice of "Zhe 9248" has excellent eating quality. The kernels of "Zhe 9248" are hardened to such a degree that they could be capa-
基金This work was supported by the Pre-Research Foundation of National Defense under Grant No. 30404.
文摘The striping pattern nonuniformity of the infrared line scanner （IRLS） severely limits the system performance. An adaptive nonuniformity correction （NUC） algorithm for IRLS using neural network is proposed. It uses a one-dimensional median filter to generate ideal output of network and can complete NUC by a single frame with a high correction level. Applications to both simulated and real infrared images show that the algorithm can obtain a satisfactory result with low complexity, no need of scene diversity or global motion between consecutive frames. It has the potential to realize real-time hardware-based applications.
