negative impacts of under-segmentation errors become significantly large at large scales and (2) there are both advantages and limitations in using object-based classification, and their trade-off determines the overall effect of object-based classification, which is dependent on the segmentation scales...
In this paper, a change detection approach based on an object-based classification of remote sensing data is introduced. The approach classifies not single pixels but groups of pixels that represent already existing objects in a GIS database. The approach is based on a supervised maximum likelihood...
In a first step an automatic classification scheme for the delineation of broad land cover categories such as water, forest, urban areas and agricultural fields / grassland will be designed. This paper presents the first results of the sub-project "scale integration". The study ...
Second, for scenarios of targeted object classification, (i.e., most of an image is unclassified), an alternate strategy is utilized for reference-data acquisition. This involves acquiring comprehensive reference information for selected subsites to ensure proper estimates of commission....
Spectral Angle Mapper and Object-based classification combined with hyperspectral remote sensing imagery for obtaining land use/cover mapping in a Mediterr... Vadrevu and C. Kalaitzidis, "Spectral angle mapper and object-based classification combined with hyperspectral remote sensing imagery for ...
Four classification algorithms have been assessed and compared with mapped forest fuel types from Terra-ASTER sensor images in a representative area of Tenerife Island (Canary Islands, Spain). A BEHAVE fuel-type map from 2002, together with field data also obtained in 2002 during the Third Spanish...
classificationresults.Region-basedclassificationtechniques,usinganimage object(IO)ratherthanapixelasaclassificationunit,appeartoholdpromiseas amethodforovercomingthisproblem.UsingIKONOShighspatialresolution imagery,weexaminedwhethertheIOtechniquecouldsignificantlyimprove ...
With the wide application of Light Detection and Ranging (LiDAR) in the collection of high-precision environmental point cloud information, three-dimensional (3D) object classification from point clouds has become an important research topic. However, the characteristics of LiDAR point clouds, such as...
目标分类和目标检测综述(2D和3D数据) A survey of Object Classification and Detection based on 2D_3D data 热度: Remote Sensing of Environment 113 (2009) 1769–1777 Contents l ists avai lable at ScienceDirect Remote Sensing of Environment
a light imaging detection and ranging (LiDAR) system, oriented with respect to a direction of travel; compute spatial and structural parameters of a segment of the segmented data; and use the spatial and structural parameters with a machine learning model to obtain a classification of the segment...