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While visual tracking problem has been actively studied in computer vision discipline, recoginition and tracking objects beneath the water surface still remains a challenging problem since this problem open deals with several difficulties: 1) poor light condition 2) limited visibility 3) high turbidity condition 4) lack of benchmark image data, etc. Nevertheless, the importance of vision based capabilities...
SAR image is hard to be interpreted by users compared with optical remote sensing image. And current automatic SAR image interpretation cannot meet the requirement of practical application. In order to overcome this problem to some extent, this article presents a new SAR image representation method called “SAR image re-imaging”. This second imaging SAR image is composed from the underlying information...
Impact crater is one of the important topographic features on the planet. Size-frequency distributions of craters on the planetary surfaces are used for determining planetary chronology. This paper presents an algorithm for automatic crater detection to reduce time to counting craters. A crater is a circular depression. So contour lines of a crater on a topographic model form a characteristic pattern...
This paper presents a data mining approach for describing Satellite Image Time Series (SITS) spatially and temporally. It relies on pixel-based evolution and sub-evolution extraction. These evolutions, namely the {frequent grouped sequential patterns}, are required to cover a minimum surface and to affect pixels that are sufficiently connected. These spatial constraints are actively used to face large...
In this paper, we set to investigate the orientation and structure parameters retrieved from POLSAR observations for canopy scattering and evaluate their capability to improving physical retrievals for vegetation and forest targets. Both the orientation and structure parameters of the canopy can be described as a cloud of spheroids with independent orientation distribution and shape distribution....
The fine-scale study of the diffuse attenuation coefficient, Kd(λ), of the spectral solar downward irradiance is only feasible by ocean color remote sensing. Several empirical and semi-analytical methods exist. However, most of these models are generally applicable for clear open ocean waters and estimate this coefficient only at 490 nm. They show limitations when applied to coastal waters. A new...
This investigation presents an improved methodology for decomposing the fully polarimetric SAR data based on the 4-Component Scattering Power Decomposition (4-CSPD) scheme. Using a phase rotation of 3×3 coherency matrix and the minimization of phase rotated matrix element T33, 4-CSPD model has been applied on fully polarimetric SAR images. This new decomposition methodology shows accurate decomposition...
In the remote sensing domain data from many different sources are often available. Each of these data sources are characterized by their own sensor- and platform-specific properties, i.e. spectral range, or spatial and spectral resolution. In this paper we consider a low spatial, but high spectral resolution satellite image, together with its high spatial resolution RGB color image, e.g. obtained...
Radarsat-2 quad-pol data (C band) and both dual and quad-pol Phased Array L band Synthetic Aperture Radar (PALSAR) data are used to map invasive plant species and forest degradation in Betampona Natural Reserve, Madagascar. Polarimetric feature parameters including the amplitude of the HH-VV correlation coefficient, the polarization ratio HH/VV, the polarimetric phase differences and the linear depolarization...
Gap fraction is a very important parameter to the indirect estimation of the true Leaf Area Index. In this paper, we combined the multispectral digital imageries (RGB color imagery and Near-Infrared imagery), which were obtained from a new device called Multispectral Canopy Imager (MCI), to estimate gap fraction. A new method incorporated with CIE L*a*b* color space has also been proposed to segment...
In this paper, a technique for spectral pixel reconstruction is proposed by combining information from multiple spectral bands of the same scene acquired by a satellite. By “spectral-pixel super-resolution”, we mean recovering an unavailable spectral band, suitable for different band combinations for a variety of applications. The technique includes radiometric registration, modulation transfer correction...
Satellite image mosaics are commonly used for large-scale mapping purposes. Perpetual cloud cover may prohibit the mapping with electro-optical satellite imagery within a reasonable time interval, e.g. in tropical areas. In these cases, the additional use of SAR data can help to complement the image of the earth surface, as cloud-independent spaceborne SAR data has been proven to be a valuable thematic...
The objective of this study is to map Cyanobacteria Bloom in brackish Lakes Shinji and Nakaumi using satellite data such as MODIS. The 10 satellite sensor data such as QuickBird, ALOS AVNIR-2, and MODIS from November to December, 2010 were collected in these lakes. Cyanobacteria bloom was distinguished by viewing from satellite data. Furthermore, it was judged quantitatively by Rayleigh corrected...
This study observed rock and alteration mineral mapping using HyMap hyperspectral data over the Warmbad district, south of Namibia. The classification result using proposed methods consist of PPI derived from the Spectral Hourglass method and field spectra with the Neural Network classification method show good result for mapping various sericites in pegmatite veins, propylitic alteration of chlorite...
Very high resolution InSAR image pairs include a tremendous information content compared to single images. There exist several RGB false color image products to improve the visualization and the interpretation of InSAR image pairs by using deduced image features. In this paper the two different products: the interferometric land use (ILU) image and the Coefficient of Variation-Amplitude-Coherence...
Mafic and ultramafic (M-UM) units were identified from a wide area in the north east Botswana by using remote sensing thermal infrared (TIR) data and digital elevation model (DEM) data. Areas that show high emissivity in the TIR data can be estimated as M-UM units. In addition, areas that are accompanied with topographic anomaly in the DEM data are estimated as ultramafic units since ultramafic units...
This paper describes a slope failure detection method by using high resolution SAR satellite images when the disaster occurs. We have proposed the detection method of slope failures by using the optical sensor image in such a situation. The optical sensor images are not applied to observe the ground surfaces if the clouds cover the suffered area. On the other hand, the SAR images are effective for...
Persistent Scatterer (PS) analysis of urban areas using high resolution SAR data is an important and by this time mature technique to estimate deformation and 3D information. Due to the high resolution a large number of PS is available per building. Beyond that the scatterers residing on one building often form patterns, which hold information about the relations between the PS. We present an approach...
An earthquake with a presumed magnitude of 7.0 occurred on January 12, 2010 in Port au Prince/Haiti. The disaster area has been extracted using an overlay technique of multi spectral data from the ALOS satellite and the maximum likelihood classification technique to compare images before the earthquake strike and after it struck. In addition, the situation of reconstruction was interpreted by using...
Adaptive filtering approach to reduce noise and enhance details readability of Landsat images is presented in the paper. As a method of the filter weights adjusting the Recursive Least Squares algorithm was used. It allows correcting images from different channels according to the reference image. This image is a simple average of images acquired by Landsat 7 ETM+ scanner but more sophisticated reference...
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