GTI method for wilt oak trees detection

Massimo Dell'Erba, K. Uto
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Abstract

In this paper we proposed a method for detecting wilt oak trees. There were used images regarding Japanese Oak forests captured during summer and autumn of years 2007, 2008 and 2009, from airborne (with AISA view) and from low-altitude [1] (with VNIR HS Sensor). GTI method permits of dividing into 2 subsets (wilt and healthy), pixels of an image taking care also about autumnal characteristics of leaves, using reflectance graphs of each pixel in function of wavelength. There are 2 different strategies: finding a static threshold with many observations or running an algorithm (MCC) to find a dynamic threshold. The second approach is better for dark and subject to accentuated atmospheric effects images.
枯萎栎树GTI检测方法
本文提出了一种检测栎树枯萎病的方法。本研究使用了2007年、2008年和2009年夏季和秋季拍摄的日本橡树林图像,图像来自空中(使用AISA视图)和低空[1](使用VNIR HS传感器)。GTI方法允许将图像像素划分为2个子集(枯萎和健康),同时考虑树叶的秋季特征,使用每个像素的反射率图作为波长的函数。有两种不同的策略:通过许多观察找到一个静态阈值,或者运行一个算法(MCC)找到一个动态阈值。第二种方法对于黑暗和受大气效果影响的图像更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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