基于土地利用的遥感影像协同式解译

从人工解译到半自动解译,再到智能化解译,遥感影像解译的理论和方法不断发展。基于遥感影像的土地利用更新调查中,需要进行影像解译以识别各种土地类型,虽然采用了土地利用信息的智能化解译方法,但土地利用分类的精度有限,仍需人为参与解译工作,并充分利用土地利用现状数据库的资料辅助解译,形成土地利用协同式解译,以提高土地利用分类的精度。利用2005年武汉市南湖地区的SPOT影像和土地利用现状数据库的信息进行土地利用协同式解译,结果表明:土地利用协同式解译能很好地提高遥感影像的解译精度。

Cooperative Interpretation of Remote Sensing Image Base on the Land Use

As the improvement of the theory of remote sensing image interpretation,the method of it goes from manual interpretation to semi-automatic and then to the intelligent interpretation.The land use updated survey which based on remote sensing images need to do the image interpretation,so that it can identify the various types of land.Although the intelligent interpretation has been used for the recognition of the land-use of the information,but the accuracy of the land use classification is limited.people are still needed to participate in the work of interpretation.And we should make full use of land-use database support the interpretation.Then a collaborative interpretation of land-use is formed.It can improve the accuracy of land use classification.In this paper,SPOT images and land-use the information of Nanhu in Wuhan City in 2005 were used for the cooperative interpretation of land use.The results showed that cooperative interpretation of land use can get a higher accuracy of remote sensing images than the intelligent interpretation.