Radar remote sensing has a significant role in remote sensing technologies and develops rapidly. A series of new synthetic aperture radar (SAR) satellites has been launched to space having various operation modes which offer different resolutions and advantages. A very actual SAR satellite is German TerraSAR-X (TSX), launched on 15 June 2007. This satellite is a revolution for the SAR technolog...

The offer of high spectral and high spatial resolutions images has grown in the last decade. It is know possible to obtain data from different sources with different spatial and spectral resolutions. The field of data fusion of remotely sensed data grown also very fast in the last years. In this paper, an algorithm allowing the merging of SPOT 5 images and Ikonos images are proposed. This algor...

Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This paper proposes a system for increasing the degree of automation in extraction of building features with different rooftops from high resolution Multispectral satellite images (e.g., IKONOS and Qui...

The detailed analysis of urban regions is among those areas which most benefited from the availability of high-resolution satellite data such as e.g. IKONOS and QUICKBIRD. These data offer as well high spatial, radiometric and temporal resolution, competing with aerial photographs for several applications. Merging these characteristics allows the detection of intra-urban targets and consequentl...

Extraction of a digital elevation model from high resolution satellite images such as IKONOS is important for many applications. One of the most popular techniques hired for automated DEM extraction is stereo matching. However, high resolution satellite images possess some properties that make automated stereo matching difficult. They present edges of individual buildings, building facades and ...

Accurate and frequently updated land cover maps of environmentally protected areas are necessary for the management of legislation programs governed by the EU, national authorities and local environmental schemes. This study has analysed the suitability of Artificial Neural Networks (ANN) for mapping and monitoring land cover over regional areas, such as National Parks, using both hard and soft...