As rain drops change the radiation and scattering characteristic of the oceans and the atmosphere, the wind speed measuring by spaceborne remote sensors under rainy conditions remains challenging for years. On the bas...As rain drops change the radiation and scattering characteristic of the oceans and the atmosphere, the wind speed measuring by spaceborne remote sensors under rainy conditions remains challenging for years. On the basis of a microwave radiometer（RM） loaded on HY-2 satellite, the sensitivity of some brightness temperature（TB）channels to a rain rate and the wind speed are analyzed. Consequently, two TB combinations which show minor sensitivity to rain are obtained. Meanwhile, the sensitivity of the TB combination to the wind speed is even better to the original TB channel. On the basis of these TB combinations, a wind speed retrieval algorithm is developed and compared with Wind Sat all-weather wind speed product, HY-2 RM original wind speed product and buoy in situ data. The wind speed retrieval accuracy is better than 2 m/s for rainy conditions, which is evidently superior to HY-2 RM original product. The applicability of this new algorithm is testified for the wind speed measuring in rainy weather with HY-2 RM.展开更多
针对UAV(Unmanned Aerial Vehicle)侦察目标识别中的实时性和鲁棒性的要求,提出一种基于SURF(Speeded Up Robust Features)的快速目标识别算法。对UAV侦察图像进行预处理,采用不变矩构造遗传算法的适应度函数,利用遗传算法的全局搜索能...针对UAV(Unmanned Aerial Vehicle)侦察目标识别中的实时性和鲁棒性的要求,提出一种基于SURF(Speeded Up Robust Features)的快速目标识别算法。对UAV侦察图像进行预处理,采用不变矩构造遗传算法的适应度函数,利用遗传算法的全局搜索能力快速地提取可能包含目标的RO(IRegion Of Interesting)区域。在ROI区域和模板图像中提取SURF特征点,采用最近邻的匹配算法搜索匹配对,从而精确确定目标的位置。仿真结果显示,该算法可以明显地提高目标识别的实时性并具有相当的鲁棒性。展开更多
基金The National Science Foundation for Young Scientists of China under contract 41306183the National High Technology Research and Development Program(863 Program)of China under contract Nos 2013AA09A505 and 2013AA122803
文摘As rain drops change the radiation and scattering characteristic of the oceans and the atmosphere, the wind speed measuring by spaceborne remote sensors under rainy conditions remains challenging for years. On the basis of a microwave radiometer（RM） loaded on HY-2 satellite, the sensitivity of some brightness temperature（TB）channels to a rain rate and the wind speed are analyzed. Consequently, two TB combinations which show minor sensitivity to rain are obtained. Meanwhile, the sensitivity of the TB combination to the wind speed is even better to the original TB channel. On the basis of these TB combinations, a wind speed retrieval algorithm is developed and compared with Wind Sat all-weather wind speed product, HY-2 RM original wind speed product and buoy in situ data. The wind speed retrieval accuracy is better than 2 m/s for rainy conditions, which is evidently superior to HY-2 RM original product. The applicability of this new algorithm is testified for the wind speed measuring in rainy weather with HY-2 RM.
文摘针对UAV(Unmanned Aerial Vehicle)侦察目标识别中的实时性和鲁棒性的要求,提出一种基于SURF(Speeded Up Robust Features)的快速目标识别算法。对UAV侦察图像进行预处理,采用不变矩构造遗传算法的适应度函数,利用遗传算法的全局搜索能力快速地提取可能包含目标的RO(IRegion Of Interesting)区域。在ROI区域和模板图像中提取SURF特征点,采用最近邻的匹配算法搜索匹配对,从而精确确定目标的位置。仿真结果显示,该算法可以明显地提高目标识别的实时性并具有相当的鲁棒性。
