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Leaf chlorophyll content (LCC) is an important indicator for wheat growth monitor. In this paper, the integrated inversion approach was developed to estimate the wheat LCC. Based on the PROSAIL simulation data set, three hyperspectral vegetation indices (VIs), PRI, TCARI and TCARI/OSVAI, were comparative analyzed to screen out optimal VI for wheat LCC estimation. The integrated inversion models to...
In order to provide scientific support for the management of the urban green vegetation, taking Xuzhou city as an example, this paper proposed a method to diagnose stress conditions of vegetation rapidly by using a green vegetation spectral database. Under laboratory conditions, 303 samples of leaf reflectivity spectra taken from 25 kinds of green vegetation in urban areas were acquired by the means...
The feature extraction and dimensionality reduction is one of the core problems in hyperspectral remote sensing imagery processing. For the detailed vegetation classification, a projection index is established. It describes the separability of easy mixed classified vegetation objects. By optimizing the index, the projection directions may be calculated and the directions are orthogonal each other...
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