基于HJ-1A卫星HSI数据,以阿克苏地区主栽3种经济林树种为研究对象,运用最佳指数法(Optimum Index Factor)和波段指数法(Band Index)对HJ-1A卫星的HSI影像进行敏感波段的筛选,并对南疆环塔里木盆地主栽经济林树种进行了识别研究。结果表...基于HJ-1A卫星HSI数据,以阿克苏地区主栽3种经济林树种为研究对象,运用最佳指数法(Optimum Index Factor)和波段指数法(Band Index)对HJ-1A卫星的HSI影像进行敏感波段的筛选,并对南疆环塔里木盆地主栽经济林树种进行了识别研究。结果表明,不同波段选择方法筛选出的敏感波段集中在红光和近红外波段范围,且对经济林树种都具有良好的可分性;敏感波段组合(28-40-77、28-54-75、20-40-58)对经济林树种总分类精度均达到了70%以上,基于TM432划分波段的波段指数法筛选的20-40-58组合,总分类精度最高(OA=72.4647%),Kappa系数为0.5838。展开更多
Road traffic crash data are useful tools to support the development, implementation, and assessment of highway safety programs that tend to reduce road traffic crashes. Collecting road traffic crash data aims at gaini...Road traffic crash data are useful tools to support the development, implementation, and assessment of highway safety programs that tend to reduce road traffic crashes. Collecting road traffic crash data aims at gaining a better understanding of road traffic operational problems, locating hazardous road sections, identifying risk factors, developing accurate diagnosis and remedial measures, and evaluating the effectiveness of road safety programs. Furthermore, they can be used by many agencies and businesses such as: law enforcements to identify persons at fault in road traffic crashes;insurers seeking facts about traffic crash claims;road safety researchers to access traffic crash reliable database;decision makers to develop long-term, statewide strategic plans for traffic and highway safety;and highway safety administrators to help educate the public. Given the practical importance of vehicle crash data, this paper presents an overview of the sources, trends and problems associated with road traffic crash data.展开更多
文摘基于HJ-1A卫星HSI数据,以阿克苏地区主栽3种经济林树种为研究对象,运用最佳指数法(Optimum Index Factor)和波段指数法(Band Index)对HJ-1A卫星的HSI影像进行敏感波段的筛选,并对南疆环塔里木盆地主栽经济林树种进行了识别研究。结果表明,不同波段选择方法筛选出的敏感波段集中在红光和近红外波段范围,且对经济林树种都具有良好的可分性;敏感波段组合(28-40-77、28-54-75、20-40-58)对经济林树种总分类精度均达到了70%以上,基于TM432划分波段的波段指数法筛选的20-40-58组合,总分类精度最高(OA=72.4647%),Kappa系数为0.5838。
文摘Road traffic crash data are useful tools to support the development, implementation, and assessment of highway safety programs that tend to reduce road traffic crashes. Collecting road traffic crash data aims at gaining a better understanding of road traffic operational problems, locating hazardous road sections, identifying risk factors, developing accurate diagnosis and remedial measures, and evaluating the effectiveness of road safety programs. Furthermore, they can be used by many agencies and businesses such as: law enforcements to identify persons at fault in road traffic crashes;insurers seeking facts about traffic crash claims;road safety researchers to access traffic crash reliable database;decision makers to develop long-term, statewide strategic plans for traffic and highway safety;and highway safety administrators to help educate the public. Given the practical importance of vehicle crash data, this paper presents an overview of the sources, trends and problems associated with road traffic crash data.
