Abstract This article proposes a local input‐to‐state stability (LISS) analysis as practical approach. In existing LISS approaches, region including state trajectory is not specified, and the decrement of Lyapunov function must be guaranteed in entire domain system state. reduces advantage by limiting region, limits class systems for which can guaranteed. To expand guaranteed, on compact set (L...

Soil salinity phenomena are one of the main problems of arid and semi-arid lands. Saline soils constitute a huge part of Iran, and also threaten its neighboring lands. Therefore, in order to optimum exploitation of such soils, qualitative monitoring is necessary. Recently, remote sensing techniques have been increasingly applied in monitoring soil characteristics. The present study was carried ...

The main process of this image classification with a convolution neural network using deep learning model was performed in the programming language Python code Jupyter tool, mainly data set IRS P-6 LISS IV from an Indian remote sensing satellite high resolution multi-spectral camera around 5.8m 817 km altitude Delhi image. To classify areas within cropped required to apply enhancement technique...

For studying vegetation cover in Choghakhor wetland located in Chaharmahal-o-Bakhtiari province (W Iran), some zones of vegetation life forms were determined and also digitized in order to produce the primary map of plant cover by using LISS-IV sensor of IRS satellite with the spatial resolution of 5.8 m. As aquatic plants in Choghakhor wetland were fully grown, homogeneity or heterogeneity of ...

Edges characterize boundaries and are therefore a problem of fundamental importance in image processing and particularly in automatic feature extraction. In this paper a comparative study of various edge detection techniques and band wise analysis of these algorithms in the context of object extraction with regard to remote sensing satellite images from the Indian Remote Sensing Satellite (IRS)...