This paper provides a description of the MediaEval 2017 Multimedia Satellite Task. The primary goal of the task is to extract and fuse content of events which are present in Satellite Imagery and Social Media. Establishing a link from Satellite Imagery to Social Multimedia can yield to a comprehensive event representation which is vital for numerous applications. Focusing on natural disaster ev...

The spectral capability of early satellite sensors opened new perspectives in the field of archaeological research. The recent availability of hyperspectral and multispectral satellite imageries has established a valid and low cost alternative to aerial imagery in the field of archaeological remote sensing. The high spatial resolution and spectral capability can make the VHR satellite images a ...

using satellite imagery for the study of earth's resources is attended by manyresearchers. in fact, the various phenomena have different spectral response inelectromagnetic radiation. one major application of satellite data is the classification ofland cover. in recent years, a number of classification algorithms have been developed forclassification of remote sensing data. one of the most nota...

The problem of differential terrain illumination on satellite imagery has been investigated for at least 20 years and has not been solved satisfactorily. Most past research has been conducted on Landsat imagery where the look angle is nadir. There is no research on topographic correction of IKONOS imagery, which has a higher spatial resolution. The high spatial resolution of IKONOS imagery requ...

This paper shows the potential of LIDAR for extracting buildings and other objects from medium resolution satellite imagery. To that end, the study integrated multispectral and LIDAR elevation data in a single imagery file and then classified it using the Support Vector Machine. To determine the method’s potential, the study used a SPOT5 satellite from an area situated southeast of Madrid, Spai...

Recent advances in satellite and airborne sensors make spatial and multispectral high-resolution imagery effortlessly available. These advances give the chance to address and solve some old problems related to the poor spatial or spectral resolution; such as the lack of details for certain features or the inability of the traditional classifiers to detect some land cover types due to the missin...

The demand for accurate and up-to-date spatial information is increasing and its availability is becoming more important for a variety of tasks. Today’s commercial high-resolution satellite imagery (HRSI) offers the potential to extract useful and accurate spatial information for a wide variety of mapping and GIS applications. The extraction of metric information from images is possible due to ...

Hyperspectral Imagery Sensing (HIS) is widely gained tremendous popularity in many research areas such as remotely sensed satellite imaging and aerial reconnaissance. HIS is an important technique with the measurement, analysis, and interpretation of spectra acquired sensing scene an airborne or satellite sensor. The development of sensor technology brought the developing of collecting image da...

The number of high resolution space imagery have great interest in the photogrammetric and remote sensing communities. This imagery is considered as a basic information source for mapping with various applications in geomantic. By this hybrid both the projection model and polynomial model in geometric correction of satellite imagery, it needs to control points and standardisation data. In the g...

The objective of this study was to examine the reflectance of Landsat TM imagery for mapping soil organic Carbon (SOC) content in an Alpine environment. The studied area (ca. 3*104 km2) is the upper reaches of the Heihe River at the northeast edge of the Tibetan plateau, China. A set (105) of topsoil samples were analyzed for SOC. Boosted regression tree (BRT) models using Landsat TM imagery we...