Opin vísindi
Browsing Greinar- HÍ by Department "Faculty of Electrical and Computer Engineering (UI)"
- Opin vísindi
- →
- Háskóli Íslands
- →
- Greinar- HÍ
- →
- Browsing Greinar- HÍ by Department
JavaScript is disabled for your browser. Some features of this site may not work without it.
Browsing Greinar- HÍ by Department "Faculty of Electrical and Computer Engineering (UI)"
Now showing items 21-40 of 47
-
(IEEE, 2014)Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such imagery. In this paper, a new ... -
(MDPI AG, 2018-11-15)To improve the performance of land-cover change detection (LCCD) using remote sensing images, this study utilises spatial information in an adaptive and multi-scale manner. It proposes a novel multi-scale object histogram distance (MOHD) to measure the ...
-
(MDPI AG, 2018-01-20)A new lava field was formed at Holuhraun in the Icelandic Highlands, north of Vatnajökull glacier, in 2014–2015. It was the largest effusive eruption in Iceland for 230 years, with an estimated lava bulk volume of ~1.44 km3 covering an area of ~84 km2. ...
-
(MDPI AG, 2018-03-20)Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by atmospheric effects and instrumental (sensor) ...
-
(IEEE, 2015)In land cover assessment, classes often gradually change from one to another. Therefore, it is difficult to allocate sharp boundaries between different classes of interest. To overcome this issue and model such conditions, fuzzy techniques that resemble ...
-
(IEEE, 2015-05)A novel feature selection approach is proposed to address the curse of dimensionality and reduce the redundancy of hyperspectral data. The proposed approach is based on a new binary optimization method inspired by fractional-order Darwinian particle ...
-
(MDPI AG, 2019-09-16)Filter is a well-known tool for noise reduction of very high spatial resolution (VHR) remote sensing images. However, a single-scale filter usually demonstrates limitations in covering various targets with different sizes and shapes in a given image ...
-
(MDPI AG, 2016-12-15)Land cover classification using very high spatial resolution (VHSR) imaging plays a very important role in remote sensing applications. However, image noise usually reduces the classification accuracy of VHSR images. Image spatial filters have been ...
-
An Object-Oriented Color Visualization Method with Controllable Separation for Hyperspectral Imagery (MDPI AG, 2020-05-21)Most of the available hyperspectral image (HSI) visualization methods can be considered as data-oriented approaches. These approaches are based on global data, so it is difficult to optimize display of a specific object. Compared to data-oriented ...
-
(SAGE Publications, 2018-10-07)Lava flows pose a hazard in volcanic environments and reset ecosystem development. A succession of dated lava flows provides the possibility to estimate the direction and rates of ecosystem development and can be used to predict future development. We ...
-
(IEEE, 2015)Owing to the recent development of sensor resolutions onboard different Earth observation platforms, remote sensing is an important source of information for mapping and monitoring natural and man-made land covers. Of particular importance is the ...
-
(MDPI AG, 2018-03-17)In recent decades, land cover change detection (LCCD) using very high-spatial resolution (VHR) remote sensing images has been a major research topic. However, VHR remote sensing images usually lead to a large amount of noises in spectra, thereby reducing ...
-
(Elsevier BV, 2019-04-01)Background: The 15q11.2 BP1-BP2 cytogenetic region has been associated with learning and motor delays, autism, and schizophrenia. This region includes a gene that codes for the cytoplasmic FMR1 interacting protein 1 (CYFIP1). The CYFIP1 protein is ...
-
(MDPI AG, 2018-08-07)Land cover classification that uses very high resolution (VHR) remote sensing images is a topic of considerable interest. Although many classification methods have been developed, the accuracy and usability of classification systems can still be improved. ...
-
(IEEE Geoscience & Remote Sensing Society, 2016)Remotely sensed images with very high spatial resolution provide a detailed representation of the surveyed scene with a geometrical resolution that, at the present, can be up to 30 cm (WorldView-3). A set of powerful image processing operators have ...
-
(Elsevier BV, 2019)White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of their ...
-
(MDPI AG, 2017-10-31)Change detection is an increasingly important research topic in remote sensing application. Previous studies achieved land cover change detection (LCCD) using bi-temporal remote sensing images. However, many widely used methods detected change depending ...
-
(MDPI AG, 2018-08-15)Single sensor fusion is the fusion of two or more spectrally disjoint reflectance bands that have different spatial resolution and have been acquired by the same sensor. An example is Sentinel-2, a constellation of two satellites, which can acquire ...
-
(MDPI AG, 2020-04-16)We propose an unmixing framework for enhancing endmember fraction maps using a combination of spectral and visible images. The new method, data fusion through spatial information-aided learning (DFuSIAL), is based on a learning process for the fusion ...
-
(MDPI AG, 2019-08-14)In this article, a novel approach for land cover change detection (LCCD) using very high resolution (VHR) remote sensing images based on spatial-spectral feature fusion and multi-scale segmentation voting decision is proposed. Unlike other traditional ...
Now showing items 21-40 of 47