Land use classification using TM data based on probit model.

Gene-expression based disease class classification using probit model

Clustering Approach on Land Use Land Cover Classification of Landsat TM Over Ulu Kinta Catchment

Providing accurate land use/ land cover (LULC), as an important component in remote sensing, have been a point of concern which subjected to many studies. Researchers have made great efforts in developing superior classification approaches and techniques which can lead to classification accurateness. This study was sought to investiagte LULC over Ulu Kinta Catchment in multispectral Landsat TM ...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

A model-based approach for mapping rangelands covers using Landsat TM image data

Empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. Regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. This study was conducted in a semi-arid rangeland ecosystem of Qazvin province, Iran. This paper presents t...

Backpercolation Training of Neural Networks for Agricultural Land Use Classification with Landsat-tm Data

The recently published backpercolation algorithm for the training of neural networks will be compared with the backpropagation and quickpropagation algorithm by means of "artificial" classification problems (e.g. XOR, M-N-M decoder) and serveral others. Within all classification schemes the backpercolation algorithm is much more efficent and even successful where the other training schemes are ...