Retrieval of forest stand attributes using optical airborne remote sensing dataстатья
Статья опубликована в высокорейтинговом журнале
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Дата последнего поиска статьи во внешних источниках: 2 сентября 2014 г.
Аннотация:Optical remote sensing data processing is proposed for the
airborne images of high spectral and spatial resolution. Optimization
techniques are undertaken to gain information about spatial distribution of
the pixels on the hyperspectral images and the texture of the forest stands of
different species and ages together with reducing redundancy of the spectral
channels used. The category of neighborhood of pixels for particular forest
classes and the step up method of selecting optimal spectral channels are
employed in the relevant processing procedures. We present examples of
pattern recognition for the forests as a result of separating pixels, which
characterize the sunlit tops, shaded space and intermediate cases of the Sun
illumination conditions on the hyperspectral images.