Abstract：The object-oriented method was chosen to extract land use information from UAV image. Through pretreatment of the original UAV images, the appropriate partition parameters were selected to perform multi-scale segmentation in the experimental area; according to the terrain classification characteristic differences the classification hierarchy system of multi-scale segmentation and the surface feature characteristic extraction rules were established to extract land use information in the respective optimal segmentation scale layer. The result shows that the application of object-oriented multi-scale segmentation technology can extract the land use information rapidly and accurately by using the texture, shape, size, and spatial relationship information of high-resolution UAV image.
何少林, 徐京华, 张帅毅. 面向对象的多尺度无人机影像土地利用信息提取[J]. 国土资源遥感, 2013, 25(2): 107-112.
HE Shaolin, XU Jinghua, ZHANG Shuaiyi. Land use classification of object-oriented multi-scale by UAV image. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 107-112.
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2013, Vol. 25 
