Development of Object-based Forest Type Classification Methodology

[1]  Aerial photography in the next decade. , 2000 .

[2]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[3]  Lei Liu,et al.  Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features , 2009, J. Comput..

[4]  K. Lertzman,et al.  Combining High-Resolution Aerial Photography with Gradient-Directed Transects to Guide Field Sampling and Forest Mapping in Mountainous Terrain , 2003, Forest Science.

[5]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[7]  Timothy A. Warner,et al.  Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues , 2009 .

[8]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[9]  P. Gong,et al.  Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery , 2006 .

[10]  Pi-Fuei Hsieh,et al.  Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing , 2001, IEEE Trans. Geosci. Remote. Sens..

[11]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[12]  Manfred Ehlers,et al.  Automated analysis of ultra high resolution remote sensing data for biotope type mapping: new possibilities and challenges , 2003 .

[13]  Dongmei Chen,et al.  Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case , 2004 .

[14]  R. G. Oderwald,et al.  Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. , 1983 .

[15]  Alexandre Carleer,et al.  Exploitation of Very High Resolution Satellite Data for Tree Species Identification , 2004 .