基于正则MAP模型的遥感影像亚像元定位

基金项目: 国家自然科学基金资助项目(40471088,40523005);国家973计划资助项目(2003CB415205,2006CB701302);武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目(904151695)

详细信息

Sub-pixel Mapping of Remote Sensing Images Based on MAP Model

¹ State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40471088,40523005);国家973计划资助项目(2003CB415205,2006CB701302);武汉大学测绘遥感信息工程国家重点实验室开放研究基金资助项目(904151695)

摘要: 为了更好地解决亚像元的定位问题,基于超分辨率影像重建的技术,结合亚像元定位理论,提出了一种应用于亚像元定位的正则MAP估计模型,并且通过真实数据进行了检验。实验表明,该模型是一种简单、有效地解决亚像元定位问题的方法。
- 混合像元 /
- 硬分类 /
- 遥感 /
- 影像分类 /
- 亚像元定位
Abstract: A regularized super-resolution image reconstruction method is proposed to solve the problem of sub-pixel mapping with the assumption of spatial dependence,based on the assumption of spatial dependence and the application of the soft classification result.The model was tested on real image datas,and the result shows that this model is a simple and efficient method to solve the sub-pixel mapping problem.
- mixed pixel /
- hard classification /
- remote sensing /
- image classification /
- sub-pixel mapping