少控制点的推扫式卫星姿态参数外推方法研究  被引量:1

Research on Extrapolation of Attitude Parameters of Push-broom Satellite with Few Ground Control Points

在线阅读下载全文

作  者:陈建胜[1,2] 杨健[1] 赵鸿志[3] 

机构地区:[1]中国科学院遥感应用研究所,北京100101 [2]中国科学院研究生院,北京100049 [3]航天东方红卫星有限公司,北京100094

出  处:《中国图象图形学报》2009年第8期1469-1474,共6页Journal of Image and Graphics

基  金:国家航天局航天遥感论证中心HJ-1卫星数据研究专题(07K00110KJ)

摘  要:线阵推扫式传感器目前已经广泛应用于当代航空和航天摄影测量与遥感领域,为摄影测量与遥感应用开辟了崭新的途径。基于少控制点的推扫式卫星姿态外推研究成为新的研究方向,对较难获得控制点区域的目标定位具有重要意义。针对单线阵推扫式传感器影像多中心成像的特点,建立基于共线方程的传感器模型。采用空间后方交会的方法求解各扫描行的定向参数,当外推距离较远时采用单控制点进行定向参数改正。实验数据采取国内某地区同一轨道上的连续6景SPOT影像进行目标定位。分析外推的实验结果,当外推距离为240km时,误差为1km左右,利用单控制点进行误差补偿后,纠正结果明显优于前者,达到了1km以下。但纠正结果仍不能让人满意,还有待进一步提高。Linear array push-broom sensors have been widely researched and applied in the aerospace area and remote sensing applications, and have started a new approach for photogrammetry and remote sensing application. Research on extrapolation of attitude parameters of push-broom satellite with less ground points have become a new research. It is very important to target objects in a region where it is difficult to obtain ground control points. According to the characteristics of multiple central perspeetive imaging, we built the sensors model based on collinear equations. We solve orientation parameters of different scan lines by space resection. When the extrapolative depth is large, we take a single ground control point as the constrains. The experiment data is six Spot images of the same orbit in our country. We analyzed the extrapolative results: when the extrapolative depth is 240 km, the mean error is about 1 km, when extrapolation considers a single ground control point, the result is better than the former and the mean error is below 1 km. We can improve our results in the future by collecting other related information for the extrapolative image.

关 键 词:线阵推扫式传感器 共线方程 外推 少控制点 

分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象