Automatic age classification of forest land

Details Automatic age classification of forest land Automatic age classification of forest land

2008-12-24

2011-11-22

Wu, Jingge (Department: 2624)

Image analysis

Color image processing

Pattern recognition or classification using color

C382S110000

Reexamination Certificate

active

08064692

ABSTRACT:
A false color composite image is created by assigning mid infrared data from three time-spaced images of an area of interest to corresponding RGB color components for the false color composite image. The RGB color components for the false color composite image are then converted into color space data and classified into a number of color classes. An age is assigned to the color classes to create a classified image of age classes of the area of interest.

REFERENCES:
patent: 5341439 (1994-08-01), Hsu
patent: 5886662 (1999-03-01), Johnson
patent: 7130465 (2006-10-01), Muenzenmayer et al.
patent: 7212670 (2007-05-01), Rousselle et al.
patent: 7218776 (2007-05-01), Sowinski
patent: 2002/0113212 (2002-08-01), Meglen et al.
patent: 2007/0291994 (2007-12-01), Kelle et al.
patent: 2011/0110562 (2011-05-01), Kelle et al.
Skidmore et al “Use of remote sensing and GIS for sustainable land management.” In ITC Jornal No. 3-4, pp. 302-315, published 1997 [online] [retreived Jan. 27, 2010]. Retrieved from the Internet ,URL: http://144.16.65.194/energy/HC270799/LM/SUSLUP/KeySpeakers/Askidmore.pdf>.
Champion, I., et al., “Radar Image Texture as a Function of Forest Stand Age,” International Journal of Remote Sensing 29(6):1795-1800, Mar. 2008.
Drezet, P.M.L., and S. Quegan, “Satellite-Based Radar Mapping of British Forest Age and Net Ecosystem Exchange Using ERS Tandem Coherence,” Forest Ecology and Management 238(1-3):65-80, Jan. 2007.
Franklin, S.E. et al., “Discrimination of Conifer Height, Age, and Crown Closure Classes Using Landsat-5 TM Imagery in the Canadian Northwest Territories,” International Journal of Remote Sensing 24(9):1823-1834, May 2003.
Franklin, S.E. et al., “Texture Analysis of IKONOS Panchromatic Data for Douglas-Fir Forest Age Class Separability in British Columbia,” International Journal of Remote Sensing 22(13):2627-2632, 2001.
Liu, W., et al., “Predicting Forest Successional Stages Using Multitemporal Landsat Imagery With Forest Inventory and Analysis Data,” International Journal of Remote Sensing 29(13):3855-3872, Jul. 2008.
Nelson, T., et al., “Spatial Statistical Techniques for Aggregating Point Objects Extracted From High Spatial Resolution Remotely Sensed Imagery,” Journal of Geographical Systems 4(4):423-433, Dec. 2002.

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