Many methods based on radiative-transfer models and empirical approaches with prior knowledge have been developed for the retrieval of hyperspectral surface reflectance. In this paper, we propose a novel approach for atmospheric correction of hyperspectral images based on machine learning. A support vector machine (SVM) is used for learning to predict the surface reflectance from the preprocess...

rapid thermal processing (rtp) has become a key technology for semiconductor device manufacturing in a variety of applications, such as thermal oxidation, annealing, and thin-film growth. hence, understanding the radiative properties of silicon and other relevant materials is essential for the analysis of the thermal transport processes. we have analyzed and calculated the spectral, directional...

in this study, principal components analysis was used to investigate lithological characteristics of jahani salt dome, firouzabad. the spectral curves of rocks in the study area show that the evaporate rocks have the highest reflectance at specified wavelengths. the highest reflection has been seen in gypsum and white salt, while minimal reflection can be observed in the igneous rocks from the ...

A detailed introduction to variogram analysis of reflectance data is provided, and variogram parameters (nugget, sill, and range values) were examined as possible indicators of abiotic (irrigation regime) and biotic (spider mite infestation) stressors. Reflectance data was acquired from 2 maize hybrids (Zea mays L.) at multiple time points in 2 data sets (229 hyperspectral images), and data fro...

Since commercial image detectors, such as charge-coupled device (CCD) cameras, have a limited dynamic range, it is difficult to obtain images that really are unsaturated, as a result of which the reflectance parameters may be inaccurately estimated. To solve this problem, we describe a method to estimate reflectance parameters from saturated spectral images. We separate reflection data into dif...

This paper presents a large set of spectral and directional signatures of the polarized reflectance acquired over various surfaces. Two analytical physically-based models were developed, one for bare soils and the other for simple vegetation cover. They consider that the polarized reflectance is generated by single specular reflection over isotropically distributed facets or leaves. The models ...

Assessment of nitrogen content from crop leaves has been of interest worldwide to help growers adjust N fertilizer rates to meet the demands of the crop. A multi-spectral imaging system was developed for in-field real-time assessment of plant nitrogen stress in corn (Zea mays L.) crops indicated by plant reflectance and measured using a vision-based multi-spectral imaging sensor (MSIS). The obj...

This Letter presents field-based evidence of the perturbing effects of surface anisotropy on the remote sensing of burned savannah. The analysis is based on bidirectional spectral reflectance data collected at different solar illumination angles and convolved to Moderate-resolution Imaging Spectroradiometer (MODIS) reflective bands. Results from a grass savannah site show that burning reduces t...

The goal of the present work is to reduce the number of the training samples used in our color prediction model based on CIEXYZ using an Effective Coverage Map while keeping satisfying prediction. A general approach is proposed in this paper to choose the best reference combination for the training samples. The approach is based on the dot gain behavior of each primary ink, which is characteriz...

Feng, M. C., J. J. Wang, C. Wang, W. D. Yang, H. Q. Wang, L. J. Xiao, Y. H. Song, L. M. gao, M. J. ZHang and g. W. Ding, 2013. Response of winter wheat (Triticum aestivum L.) spectral reflectance characteristics to chlorophyll content in planting densities application rate. Bulg. J. Agric. Sci., 19: 1190-1197 The leaf chlorophyll content of wheat is one of important agronomic parameters to anal...