Texture classification is one of the most studied and challenging problems in computer vision. A key requirement of successful texture classification algorithms is their ability to quantify the complex nature and diversity of real world textures. Recent developments in automatic texture classification have demonstrated the effectiveness of modeling texture elements as cluster centers of respons...

The physical processes that govern meltwater flow through snow are complex and spatially variable. Remote sensing studies may be a cost-effective approach for studying these variations, and may help to scale the knowledge obtained from field-scale observations and experiments. This paper focuses on the analysis of spatial variability of reflectance obtained from infrared photographs of a snow s...

soil salinity is a limiting factor for plant growth and a serious cause of land degradation. field sampling and statistical analysis for estimating soil salinity is expensive and time consuming. estimating soil salinity by spatial statistical models and geographic information system (gis) is recommended, because it saves labor and time. this study was conducted to evaluate the performance of sp...