A Hybrid Approach for Information Extraction From High Resolution Satellite Imagery

Abstract

This paper presents a hybrid approach for extraction of information from high resolution satellite imagery and also demonstrates the accuracy achieved by the final extracted information. The hybrid technique comprises of improved marker-controlled watershed transforms and a nonlinear derivative method. It overcomes all the disadvantages of existing region-based and edge-based methods by incorporating aforesaid hybrid methods. It preserves the advantages of multi-resolution and multi-scale gradient approaches. Region-based segmentation also incorporates the watershed technique due to its better efficiency in segmentation. In principle, a proper segmentation can be performed perfectly by watershed technique on incorporating ridges. These ridges express as the object's boundaries according to the property of contour detection. On the other hand, the nonlinear derivative method is used for resolving the discrete edge detection problem. Since it automatically selects the best edge localization, which is very much useful for estimation of gradient selection. The main benefit of univocal edge localization is to provide a better direction estimation of the gradient, which helps in producing a confident edge reference map for synthetic images. The practical merit of this proposed method is to derive an impervious surface from emerging urban areas.

Classification of high resolution satellite images using spatial constraints-based fuzzy clustering

“…Due to the incorporation of the full fuzzy classification approach, a high level of accuracy can be achieved in comparison to the crisp classification approach. 24 A method comprised of improved marker controlled watershed transforms and a nonlinear derivative is proposed to classify the HRSI that overcomes the drawbacks of region-based approaches. On the basis of two salient features of roads, such as a nearby linear trajectory and different spectral behavior, a multistage methodology has been proposed to extract a road network from HRSIs.…”

Spatio-Temporal Evolution of Impervious Surface Areas and Its Effect on the Thermal Environment: a Case Study of Hefei City, China

“…Research on effective information extraction on ISAs has been important for understanding and monitoring changes caused by urbanization in the thermal environment [12]. At present, many domestic and international scholars have focused on the efficient extraction of ISA [6,[13][14][15]. Ridd [16] proposed the classic vegetation-impervious surface-soil model which regards the urban land surface area as a composition of these three land covers.…”