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Original Articles

Illumination Compensation for Aerial Video Images to Increase Land Cover Classification Accuracy in Mountains

Pages 368-381 | Published online: 31 Jul 2014

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Read on this site (8)

J. D. Shepherd & J. R. Dymond. (2003) Correcting satellite imagery for the variance of reflectance and illumination with topography. International Journal of Remote Sensing 24:17, pages 3503-3514.
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P. Pellikka, E.D. Seed & D.J. King. (2000) Modelling Deciduous Forest Ice Storm Damage Using Aerial CIR Imagery and Hemispheric Photography. Canadian Journal of Remote Sensing 26:5, pages 394-405.
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M. Holopainen & S. Jauhiainen. (1999) Detection of Peatland Vegetation Types Using Digitized Aerial Photographs. Canadian Journal of Remote Sensing 25:5, pages 475-485.
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G. Gerylo, R.J. Hall, S.E. Franklin, A. Roberts & E.J. Milton. (1998) Hierarchical Image Classification and Extraction of Forest Species Composition and Crown Closure from Airborne Multispectral Images. Canadian Journal of Remote Sensing 24:3, pages 219-232.
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Markus Holopainen & Guangxing Wang. (1998) Accuracy of digitized aerial photographs for assessing forest habitats at plot level. Scandinavian Journal of Forest Research 13:1-4, pages 499-508.
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Articles from other publishers (4)

He Yin, Bin Tan, David Frantz & Volker C. Radeloff. (2022) Integrated topographic corrections improve forest mapping using Landsat imagery. International Journal of Applied Earth Observation and Geoinformation 108, pages 102716.
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P.K.E. Pellikka, V. Heikinheimo, J. Hietanen, E. Schäfer, M. Siljander & J. Heiskanen. (2018) Impact of land cover change on aboveground carbon stocks in Afromontane landscape in Kenya. Applied Geography 94, pages 178-189.
Crossref
Steven Franklin. 2001. Remote Sensing for Sustainable Forest Management. Remote Sensing for Sustainable Forest Management.
P. Pellikka. (1998) Development of correction chain for multispectral airborne video data. Development of correction chain for multispectral airborne video data.

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