Atkinson, Peter M.,  <br/><br/>
Advances in remote sensing and GIS analysis / 
by Peter M. Atkinson  
 - New Delhi:  Wiley India,  2013. 
 - xiv, 273p. 
<br/><br/>1.Techniques for the analysis of spatial data--<br/>2.land cover classification revisited --<br/>3.Image classification with a neural network : From completely-Crisp to Fully - Fuzzy situations--<br/>4.Cloud motion analysis--<br/>5.Methods for estimating image : signal to noise ratio ( SNR )--<br/>6.Modelling and efficient mapping of snow cover in the Uk for remote--<br/>7.Using variograms to evaluate a model for the spatial prediction of minimum Air Temperature--<br/>8.Modelling the distribution of cover fraction of a geophysical field --<br/>9.Classification of digital image texture using variograms --<br/>10.Geostatistical approaches for image classification and assessment of uncertainty in geologic processing--<br/>11.A syntactic pattern recognition paradigm for the derivation of second order thematic information from remotely sensed images --<br/>12.The role of classified imagery in urban spatial analysis--<br/>13.Image classification and analysis using integrated GIS--<br/>14.Pre-Field classification of land use using the forthcoming very fine spatial resolution satellite sensors problems and potential solution--<br/>15.Modelling soil erosion at global and regional scales using remote sensing and GIS techniques--<br/>16.Extracting information from remotely sensed and GIS data  
<br/><br/><label>ISBN: </label>9788126539802 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Remote sensing
<br/><br/><label>Dewey Class. No.: </label>621.3678  / ADV