The effect of landslide and its consequences always impact negatively on the inhabitants of a certain region or zone. The overall damage of socioeconomic structure and loss of human lives always a matter of concern. Numerous approaches of landslide susceptibility mapping, hazard analysis have been developed and in most cases remote sensing, Geographical Information System (GIS) remains the core...

The generation of Digital Elevation Models (DEMs) is one photogrammetric process that has been successfully automated. However, a common criticism surrounding DEM generation software currently available commercially, is the lack of quality assessment procedures. This paper describes a new system called the Failure Warning Model (FWM), which automatically detects low accuracy areas and presents ...

Traditional terrestrial surveying techniques in mapping urban areas are usually inadequate for many reasons. For example, road networks always suffer large volumes of vehicles and personnel mobilities that affect road map production. Accordingly, both airborne and spaceborne techniques help so much in this issue, although defining and segmenting road regions and edges from these remotely sensed...

The K-Means clustering is a basic method in analyzing RS (remote sensing) images, which generates a direct overview of objects. Usually, such work can be done by some software (e.g. ENVI, ERDAS IMAGINE) in personal computers. However, for PCs, the limitation of hardware resources and the tolerance of time consuming present a bottleneck in processing a large amount of RS images. The techniques o...

This paper presents a novel hyperspectral feature-extraction toolkit that provides a simple, automated, and accurate approach to materials classification from hyperspectral imagery (HSI). The proposed toolkit is built as an extension to the state-of-the-art technology in automated feature extraction, the Feature Analyst software suite. Feature Analyst uses, along with spectral information, feat...

We have continued development of a system for multisensor image fusion and interactive mining based on neural models of color vision processing, learning and pattern recognition. We pioneered this work while at MIT Lincoln Laboratory, initially for color fused night vision (low-light visible and uncooled thermal imagery) and later extended it to multispectral IR and 3D ladar. We also developed ...

Remote sensing change detection technique has been an important method to observe the land use change. At present, there are lots of algorithms of land use change detection, but there isn’t an existing integrating frame and platform: the new-developed change detection platforms have limitation of supporting data sources and developing always consumes long time; while the change detection module...

In order to determine the long-term effect of thermal power plants, satellite images Seyitömer and Tunçbilek Thermal Power Plants their vicinities were analyzed by using software ERDAS IMAGINE v9.1 PCI Geomatica 2017. The normalized difference vegetation index (NDVI) was determined red near-infrared bands Landsat images, areas containing revealed in images. obtain temporal change areas, relevan...

Original scientific paper Determining snowmelt runoff share of watershed basins with snow and wet snow regimes is one of the main concerns of the experts in water resources field, assessment of which has been done so far with difficulties and high rate of error due to lack of snow survey and weather stations in highlands of basin and use of traditional surveying methods. Lack of integrated mana...

In this research the Preparation of Land use map of scanner LISS III satellite data, belonging to the IRS in the Aghche region in Isfahan province, is studied carefully. For this purpose, the IRS satellite images of August 2008 and various land preparation uses in region including rangelands, irrigation farming, dry farming, gardens and urban areas were separated and identified. Therefore, the ...