GTI method for wilt oak trees detection

Author

Dell´Erba, Massimo ; Uto, Kuniaki

fYear

2010

fDate

14-16 June 2010

Firstpage

1

Lastpage

4

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 (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.

Keywords

geophysical image processing; geophysical techniques; object detection; vegetation; AD 2007; AD 2008; AD 2009; AISA view; GTI method; Japanese Oak forest; VNIR HS Sensor; atmospheric effects images; leaves; reflectance graph; wilt oak trees detection; Classification algorithms; Heuristic algorithms; Hyperspectral imaging; Indexes; Pixel; Reflectivity; Shape; Dynamic GTI; MCC; Static GTI; oak wilt;

fLanguage

English

Publisher

ieee

Conference_Titel

Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on

Conference_Location

Reykjavik

Print_ISBN

978-1-4244-8906-0

Electronic_ISBN

978-1-4244-8907-7

Type

conf

DOI

10.1109/WHISPERS.2010.5594858

Filename

5594858