Title :
Textural feature extraction of tree using co-occurrence matrix from aerial images
Author :
Kubo, M. ; Kanda, E. ; Muramoto, K.
Author_Institution :
Kanazawa Univ., Japan
Abstract :
In this study, forest was measured using video camera mounted on a helicopter. It is necessary to acquire high spatial resolution image for discernment of tree species. Image features for classification of tree species were extracted by texture analysis using gray level co-occurrence matrix (GLCM). In this analysis, local homogeneity was computed from the GLCM of image. This textural feature can be used for classifying tree species.
Keywords :
feature extraction; forestry; image resolution; image texture; matrix algebra; vegetation mapping; aerial images; cooccurrence matrix; forest; high spatial resolution image; textural feature extraction; tree species; video camera;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4