Texture-integrated classification of urban treed areas in high-resolution color-infrared imagery

In this study a texture integrated classification method is proposed. To effectively extract tree textural features and eliminate noise, an algorithm of conditional variance detection is developed, which consists of a directional variance detection and a local variance detection. This algorithm detects tree features with higher accuracy than common texture algorithms. By integrating the new algorithm with traditional multispectral classsification, treed areas in urban regions can be extracted with sufficiently high accuracy.

[Ti: Texture-integrated classification of urban treed areas in high-resolution color-infrared imagery]
[Au: Zhang, Y., , ,]
[So: Photogrammetric Engineering and Remote Sensing 67(12):1359-1365.]
[Ky: Managing the Urban Forest]]