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Radar sensors can be used for large-scale vegetation mapping and monitoring using backscatter coefficients in different polarisations and wavelength bands. Due to cloud and haze interference, optical ...
Coastal zones are one of the world’s most densely populated areas and it is necessary to propose an accurate, cost effective, frequent, and synoptic method of monitoring these complex ecosystems. Howe...
In recent years, cultivation methods of rice have been diversified due to the low cost of rice-growing techniques. For example, there is direct sowing of seed rice in paddy field in addition to the pr...
Differential SAR-Interferometry (D-InSAR) is one of the potential source to measure land surface motion induced due to underground coal mining. However, this technique has many limitation such as atmo...
In this paper, the potential of using free-of-charge Sentinel-1 Synthetic Aperture Radar (SAR) imagery for land cover mapping in urban areas is investigated. To this aim, we use dual-pol (VV+VH) Inter...
In this study, synthetic aperture radar (SAR) data from TerraSAR-X were compared with RADARSAT-2 data to evaluate their effectiveness for river ice monitoring on the Peace River. For several years RAD...
Due to the increasing volume of available SAR Data, powerful classification processings are needed to interpret the images. GMM (Gaussian Mixture Model) is widely used to model distributions. In most ...
Quantitative information on mangrove cover extents is essential in producing relevant resource management plans and conservation strategies. In the Philippines, mangrove rehabilitation was made a prio...
The space borne multispectral optical sensor data have been routinely used for assessment and monitoring of natural resources and environment. One of the major problems associated with the opti...
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
The new high-resolution synthetic aperture radar (SAR) satellite systems offer new possibilities for urban remote sensing. COSMO-SkyMed and TerraSAR-X operate in X-band and both can deliver data with ...
Digital elevation models (DEM) from satellite data are generated mainly from two types of datasets using completely different methods: photogrammetry for optical stereo images (e.g. SPOT5, CARTOSAT)...
In the last decades it often has been shown that Multilayer Perceptrons (MLPs) are powerful function approximators. They were successfully applied to a lot of different classification problems. Howev...
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
Image segmentation has the general goal to define regions within an image, in which all pixels have similiar properties. For fully-polarimetric SAR data this is often done by spectral classification w...

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