Land use classification of object-oriented multi-scale by UAV image

doi:10.6046/gtzyyg.2013.02.19

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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.

Keywords tailing ponds DEM watershed analysis environmental effect

TP79

Issue Date: 28 April 2013

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	FANG Xuejuan
	DING Lei
	ZHANG Zhi

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FANG Xuejuan,DING Lei,ZHANG Zhi. Land use classification of object-oriented multi-scale by UAV image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 107-112.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.02.19 OR https://www.gtzyyg.com/EN/Y2013/V25/I2/107

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