The mixture of three normal distributions is proposed as a model for an area that we call a ‘class’ in a region according to the spectral brightness of three different band (pixel) values in remote sensing. The parameters in a mixture of three normal distributions are estimated by the method of moments for grouped data. Newton-Raphson iteration method is used for estimating the parameters where all parameters are unconstrained. The method of finding suitable starting values for Newton-Raphson iterations is also given. A computer program is developed for this purpose. © 1995 Taylor and Francis Ltd
Atmospheric correction is a key stage in the processing of remotely sensed data. The empirical line ...
An efficient methodology to simulate mixed spectral signatures of land covers, from endmember data, ...
International audienceThe k-distribution method and the correlated-k approximation of Kato et al. (1...
WOS: A1995RL80200004The mixture of three normal distributions is proposed as a model for an area tha...
Remotely sensed multispectral image data are found in grouped form with (say) s spectral components ...
A new method for estimating proportions of land cover classes within a pixel (1) specifies a new mod...
Researchers in remote sensing have attempted to increase the accuracy of land cover information extr...
Recently, remotely sensed multispectral data have been proved to be very useful for many application...
Certain landscapes in the Sahel and elsewhere consist of a 'checkerboard' arrangement of vegetated a...
The spectral reflectance function of a surface specifies the fraction of the illumination reflected ...
For the time being, Remote Sensing automatized techniques are conventionally designed to be used exc...
The downwelling solar irradiance received at ground level has many effects on many aspects, from cli...
A radiance value of a target pixel recorded by a remote sensor can be decomposed into three componen...
Multiple endmember spectral mixture analysis (MESMA) has been widely applied for estimating fraction...
In the region covered by variable amounts of vegetation, pixel spectra received by remotely-sensed s...
Atmospheric correction is a key stage in the processing of remotely sensed data. The empirical line ...
An efficient methodology to simulate mixed spectral signatures of land covers, from endmember data, ...
International audienceThe k-distribution method and the correlated-k approximation of Kato et al. (1...
WOS: A1995RL80200004The mixture of three normal distributions is proposed as a model for an area tha...
Remotely sensed multispectral image data are found in grouped form with (say) s spectral components ...
A new method for estimating proportions of land cover classes within a pixel (1) specifies a new mod...
Researchers in remote sensing have attempted to increase the accuracy of land cover information extr...
Recently, remotely sensed multispectral data have been proved to be very useful for many application...
Certain landscapes in the Sahel and elsewhere consist of a 'checkerboard' arrangement of vegetated a...
The spectral reflectance function of a surface specifies the fraction of the illumination reflected ...
For the time being, Remote Sensing automatized techniques are conventionally designed to be used exc...
The downwelling solar irradiance received at ground level has many effects on many aspects, from cli...
A radiance value of a target pixel recorded by a remote sensor can be decomposed into three componen...
Multiple endmember spectral mixture analysis (MESMA) has been widely applied for estimating fraction...
In the region covered by variable amounts of vegetation, pixel spectra received by remotely-sensed s...
Atmospheric correction is a key stage in the processing of remotely sensed data. The empirical line ...
An efficient methodology to simulate mixed spectral signatures of land covers, from endmember data, ...
International audienceThe k-distribution method and the correlated-k approximation of Kato et al. (1...