A novel image processing technique for counting the number of trees in a satellite image

This Paper Presents, an Image Processing Method for counting the number of trees in a High Spatial Resolution Satellite Image using Texture Approach. A hierarchical strategy is followed for detect, delineate and counting the trees in an image. Texture Approach Algorithm converts the RS Image in to HSI Image for more qualitatively analyze the image data. Image delineation is done approximately for using existing methods and also not gives the accurate tree count. This Algorithm gives accurate image delineation and also gives accurate tree count with the usage of Structured Element in Image. The fundamental process of an algorithm, simulation results are explained with image examples and limitations are discussed.

[1]  Rajneesh Talwar,et al.  Content-based Image Retrieval: Feature Extraction Techniques and Applications , 2012 .

[2]  Douglas J. King,et al.  Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration , 2002 .

[3]  Axel Pinz,et al.  A computer vision system for the recognition of trees in aerial photographs , 1991 .

[4]  Y. Singh,et al.  Enhancement of Images Using Histogram Processing Techniques , 2011 .

[5]  Ken-ichiro Muramoto,et al.  Delineation of tree crown in high resolution satellite image using circle expression and watershed algorithm , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[6]  Ken-ichiro Muramoto,et al.  Analysis of size of tree crown on aerial image using circle unification , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[7]  B. Straub.  AUTOMATIC EXTRACTION OF TREES FROM AERIAL IMAGES AND SURFACE MODELS , 2003 .

[8]  Tomas Brandtberg,et al.  Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis , 1998, Machine Vision and Applications.

[9]  Ken-ichiro Muramoto,et al.  Identification of individual tree crowns from satellite image and image-to-map rectification , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[10]  F. Gougeon.  A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images , 1995 .