绵阳师范学院学报
綿暘師範學院學報
면양사범학원학보
Journal of Mianyang Normal University
2015年
11期
90-94
,共5页
纹理%共生矩阵%耕地%信息提取
紋理%共生矩陣%耕地%信息提取
문리%공생구진%경지%신식제취
texture analysis%co - occurrence matrices%cultivated land%extraction of information
面对耕地面积日益锐减，耕地矛盾日益突出的形势，准确快速的提取遥感影像中的耕地信息已成为耕地动态监测的基础.本研究以绵阳市某县0.5 m 分辨率的航空影像为实验数据，借助 RS 和 GIS 技术，采用共生矩阵分析航空影像纹理特征，在此纹理影像上运用最大似然监督分类方法对耕地信息进行了自动提取.实验结果表明：耕地信息提取正确率大于90％，kappa 系数大于0.81.该方法提取速度快，自动化程度高，精度好，能够有效利用地物的空间分布信息和结构信息.
麵對耕地麵積日益銳減，耕地矛盾日益突齣的形勢，準確快速的提取遙感影像中的耕地信息已成為耕地動態鑑測的基礎.本研究以綿暘市某縣0.5 m 分辨率的航空影像為實驗數據，藉助 RS 和 GIS 技術，採用共生矩陣分析航空影像紋理特徵，在此紋理影像上運用最大似然鑑督分類方法對耕地信息進行瞭自動提取.實驗結果錶明：耕地信息提取正確率大于90％，kappa 繫數大于0.81.該方法提取速度快，自動化程度高，精度好，能夠有效利用地物的空間分佈信息和結構信息.
면대경지면적일익예감，경지모순일익돌출적형세，준학쾌속적제취요감영상중적경지신식이성위경지동태감측적기출.본연구이면양시모현0.5 m 분변솔적항공영상위실험수거，차조 RS 화 GIS 기술，채용공생구진분석항공영상문리특정，재차문리영상상운용최대사연감독분류방법대경지신식진행료자동제취.실험결과표명：경지신식제취정학솔대우90％，kappa 계수대우0.81.해방법제취속도쾌，자동화정도고，정도호，능구유효이용지물적공간분포신식화결구신식.
In the face of the situation that the cultivated land is being decreased and the population - land contradiction is becoming very obvious,the cultivated land information in the remote sensing image was extracted accurately and had fast become the basis of cultivated land dynamic monitoring. In this paper,the aerial image of 0. 5m resolution in a county of Mianyang City was chosen as the experimental data. The textures of the aerial im-age were firstly analyzed by using Gray Level Co - occurrence Matrices. Then the cultivated land information was extracted by the maximum likelihood classification. The results show that:the overall classification precision is more than 90% ,and the coefficient of kappa is more than 0. 81.
