The resolution of remote sensing images increases every day, raising the level of detail and the heterogeneity of the scenes. Most of the existing geographic information systems classification tools have used the same methods for years. With these new high resolution images basic classification methods do not provide satisfactory results. In this study we developed a region-based classification...

This paper proposes an image-based modeling of clouds where realistic clouds are created from satellite images using metaballs. The intention of the paper is for applications to space flight simulators, the visualization of the weather information, and the simulation of surveys of the earth. In the proposed method, the density distribution inside the clouds is defined by a set of metaballs. Par...

The paper explores and assesses the potential uses of high resolution satellite imagery and digital image processing algorithms for the auto detection and extraction of geospatial features, farmlands, for the purpose of statutory plane surveying tasks. The satellite imagery was georectified to provide the planar surface necessary for morphometric assessments followed by integrated image process...

Satellite image processing plays a cr ucial role for the research developments in many fields of study including Astronomy, Remote Sensing, GIS, Agriculture Monitoring and Disaster Management. The remote sensing images are utilized in many of the researches with the aim of predicting natural disasters so that essential precautions can be taken to protect the environment. Besides the other, the ...

Nowadays, remote sensing is used in many environmental applications, helping to solve and improve the social problems derived from them. Examples of remotely sensed applications include soil quality studies, water resources searching, environmental protection or meteorology simulations. The classification algorithms are one of the most important techniques used in remote sensing that help devel...

This study examines the use of image processing and remote sensing in landuse changes mapping for Palladam Taluk between 1972(Topographic sheets) and 2011(satellite images). The layers of landuse map (1972) were digitized by heads-up digitization method in Quantum GIS (QGIS) software environment. Similarly the layers of landuse map (2011) were developed by supervised classification of satellite...

This paper presents a novel image matching method for multi-source satellite images, which integrates global Shuttle Radar Topography Mission (SRTM) data and image segmentation to achieve robust and numerous correspondences. This method first generates the epipolar lines as a geometric constraint assisted by global SRTM data, after which the seed points are selected and matched. To produce more...

This paper investigates the image-based characterization of the land mobile satellite (LMS) channel. For a comprehensive multi-satellite model, a traditional measurementbased approach is not feasible due to the lack of available satellites at all possible orbital positions and the drawbacks of the measurement system when a high gain tracking antenna is involved (e.g. Ka/Ku band). To overcome th...

With the recent advancements in image processing techniques and the increasing availability of high resolution satellite imagery, one has an increased ability to characterize human attributes. This paper will study the effects that image fusion has on the classification of Quickbird satellite imagery over a rural area in Eastern India. Two panchromatic sharpening algorithms will be used and com...

Due to the conflict between increasing amount of data and restricted downlink transfer rate, onboard compression of satellite images before downloading has become an inevitable procedure. Striping noise is an inherent factor that exists in the acquired satellite images, thus, for the onboard image compression, the impact of striping noise has to be considered. Image compression is based on cont...