발간년도 : [2014]
| 논문정보 |
|
| 논문명(한글) |
[Vol.9, No.3] Autumn Leaves Analysis of Seorak Mountains Using Variations of Pixels' Color |
|
| 논문투고자 |
Oh-Sung Kwon |
|
| 논문내용 |
In general, weather observation based on visual examination has obvious limits in accuracy and consistency of its analysis results. In this paper, we propose a new weather observation method using digital image analysis and information technologies to solve the current observation's difficulties and inaccuracy. Our method consists of three steps : the preprocessing to enhance input images obtained
from remote camera control system, the pixel values extraction step to analyze autumn leaves and the statistical classification to find peak autumn color. we make use of RGB variation statistics to analyze red leaves front. We uses an analysis method of multiple small area divided from an entire input image to enhance analysis accuracy. The small areas is classified by wood lands and a thick forest that best shows characteristics of autumn color variations. We apply the method to Seorak Mountains images collected during October 2013 to November 2013 and can obtain successful features about the peak autumn color and its progress. |
|
| 첨부논문 |
|
|
|
|
|
자료실 > 논문지 
