Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we propose a multiple line extraction method from multimodal data points in high dimensional space. It can sparsely represent multimodal sensor network data by utilizing high correlation among channels in the data. We exploit the idea of Color Lines, which is a model using high correlation among RGB channels in computer vision. It represents real color images as a collection of multiple...
A novel spectral-spatial joint multiscale approach is developed to address the multi-class change detection problem in bitemporal multispectral remote sensing images. The proposed approach is based on a multiscale morphological compressed change vector analysis (M2C2VA), which extend the state-of-the-art spectrum-based compressed change vector analysis (C2VA) while preserving more geometrical details...
This study describes the improved calibration applied for VIIRS SDR reprocessing. At reflective solar bands (RSBs), the earth-view F-factor is adjusted with the lunar observations and changes about 2% in band M2-M4 in past five years. An empirical method is applied to remove the radiance spikes in VIIRS thermal emissive bands (TEBs) during the blackbody Warm-Up-Cool-Down (WUCD). VIIRS DNB calibration...
Remote sensing techniques for estimation of high-resolution (sub-mesoscale) ocean surface currents have been of interest to science community for many years. Different radar techniques have been tried, with the most popular being along track interferometry and direct Doppler analysis measurements. Jet Propulsion laboratory (JPL) has recently developed a new airborne Ka-band Doppler scatterometer (DopplerScatt),...
In this paper, we propose a novel approach for road width measurement from high resolution satellite or aerial images. The proposed approach has three main steps. First, we extract line segments and road center lines on the given remote sensing images. Second, we could obtain many pairs of parallel lines with width information by computing the positional relationship between each other. Then K-means...
In this paper, we provide an overview of the progress on producing accurate and consistent ocean color products from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP). To meet requirements from broad users (e.g., operational, research, modeling, etc.), we have proposed and now been routinely producing two VIIRS ocean color data streams,...
In this work, the problem of developing algorithms that automatically infer information about small-scale solar photovoltaic (PV) arrays in high resolution aerial imagery is considered. Such algorithms potentially offer a faster and cheaper solution to collecting small-scale PV information, such as their location and capacity. Existing work on this topic has focused on the automatic identification...
In this paper, we provide an overview of ocean color products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP), which was launched on October 28, 2011. VIIRS ocean color products include normalized water-leaving radiance spectra nLw(λ) at VIIRS five spectral bands, chlorophyll-a concentration (Chl-a), water diffuse attenuation...
This paper proposes a new approach for contextual feature extraction from superpixels in aerial urban scenes. Our method extracts features with many levels of context from superpixels by exploiting different layers of a pre-trained convolutional neural network. Experimental results show the effectiveness of the proposed approach, which outperforms traditional methods based on handcrafted feature extraction...
Object proposal approach, where potential objects are extracted first, has been developed to improve the target searching efficiency. In this paper, we investigate two newly developed algorithms, namely Selective Search and EdgeBoxes, for object proposal extraction and evaluate their performance with very high resolution (VHR) remote sensing images. These object proposal extraction methods play a...
The increased radiometric resolution of last generation multispectral sensors results in large statistical variability of classes represented in the image. However, classes present high spatial homogeneity. To preserve classes identity while simplifying their representation, in this paper we propose a class-wise spatial-contextual method based on a variational model with free discontinuities that...
In this paper, a novel spectral-spatial very high resolution images shadow detection algorithm based on random walker is proposed. First, a set of training samples is obtained by an improved Otsu based thresholding method automatically. Then, a widely used pixel-wise classifier, i.e., the Support Vector Machine (SVM), is applied to obtain an initial binary classification map. Finally, the initial...
Data fusion is a prevalent method to extract the best combination of satellite images from different modalities — spectral, spatial, temporal. A new method of object-based fusion of high resolution multispectral (MS) and panchromatic (PAN) images is proposed in this paper, which emphasizes on spectral characteristics preservation. It is a hybrid approach where individual objects detected in the images...
Attributes of sorghum panicle is a very important to assess overall crop condition, irrigation, and estimation of terminal yield. In this study, a novel method to extract sorghum panicle and estimate panicle volume of grain sorghum using an Unmanned Aerial System (UAS) is proposed. UAS data were acquired with 85% overlap at an altitude of 10m above ground. Ortho-mosaic image, Digital Surface Model...
Change detection in large urban areas is an application with increasing relevance. In this domain, Polarimetric SAR (PolSAR) sensors are receiving more attention recently. The enhanced polarimetric information provides useful features which can describe multi-temporal changes. In this work, we aim at introducing an approach for unsupervised change detection with focus on built-up areas that relies...
The intent of this paper is to propose the method of dual-aspect radiometric and geometric terrain correction to solve the two problems, radiometric variation and radiometric information loss. Firstly, the radiometric terrain correction method which considered gamma naught based image plane as measure of backscattering coefficient, which can correct radiometric variation of PolSAR images at the facing...
With the assumption that spectral characteristics of coastal band (Band 1) and blue band (Band 2) of Landsat-8 were similar in a cloud-free area, an algorithm to detect thin clouds was derived. The assumption and algorithm was evaluated using Landsat-8 data of p14/r36 acquired on 1 April 2014. First, the assumed spectral similarity of Bands 1 and 2 was validated in the cloud-free area. The similarity...
SAR polarimetry (PolSAR) can play an important role in change detection both in terms of improving the detection capabilities and providing physical information regarding the change. In agricultural context, such information can be used to help retrieving the phenological stage and eventually identifying stress conditions. In this work, a new change detection based on PolSAR data is proposed. The...
The optimal receiving technique of target backscattered signal in radar polarimetry has been successfully applied in many applications. In this study, we further develop the change detector which was proposed based on the optimization of polarimetric contrast of radar received powers. The change detector used for multi-temporal polarimetric synthetic aperture radar (SAR) analysis was proposed with...
Comprehensive crime data sets, which contain multidimensional numeric attributes, have been collected over time. To understand the pattern and trend of such attributes, this paper presents an interactive system using visual analytics approach to explore the crime data of Fuzhou, China in 2011. Specifically, users could analyze multidimensional data simultaneously in various views and be able to discover...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.