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Wide-swath satellite missions with short revisit times, such as Sentinel-1 and the planned NISAR and Tandem-L, provide an unprecedented wealth of interferometric time series and open new opportunities for systematic monitoring of the Earth surface. The processing of the emerging Big Data with the state-of-the-art InSAR time series analysis techniques is, however, challenging. This contribution introduces...
Most of the decision fusion techniques developed for the remote sensing applications have the drawback of assuming the conditional independence between the classification results, whereas, usually the correlation exists due to the same measuring instrument or same area under study. Fusion of Correlated Probabilities (FCP) method has a potential to deal with conditional dependence only for two data...
After failure of the SMAP L-band radar, its substitution by the Sentinel-1A/B C-band instruments for combined active-passive retrieval of soil moisture demands an algorithm update for this dual-frequency (L/C) case. In order to account for the different frequencies and acquisition geometries of the two sensor types, the microwave covariation, being the fundamental building block of the moisture retrieval...
The availability of several sensors with complementarity characteristics, in terms of spatial resolution and tasking flexibility, offers new opportunities for SAR interferometry applications. In this work, we quantitatively discuss the complementarity of C-band low-resolution sensors (Sentinel-1 and Envisat) and the X-band high-resolution COSMO-SkyMed SAR constellation, both with theoretical analyses...
The popularity of multi-view panoramic videos has been considerably increased for producing Virtual Reality (VR) content, due to its immersive visual experience. We argue in this paper that PSNR is less effective in assessing visual quality of compressed panoramic videos than Sphere-based PSNR (S-PNSR), in which sphere-to-plain mapping of panoramic videos is considered. Thus, the conventional rate...
Spreadsheets often contain faults that are difficult to localize. Spectrum-based Fault Localization (SFL) assists users in the fault localization process by ranking cells by their suspiciousness to contain a fault. Since the ranking of the basic SFL approach is often imprecise, we propose three techniques to improve it, i.e., dynamic cones, grouping, and tie-breaking. We evaluate these techniques...
The edge coloring problem of graphs has interesting real life applications in the optimization and the network design, such as the file transfers in computer networks. A $k$-edge coloring of a graph is a mapping $\phi: E(G) \rightarrow \{1,\cdots,k\}$. Let $f(v)$ denote the sum of the colors on all the edges incident to $v$. A $k$-neighbor sum distinguishing edge coloring of is a $k$-edge coloring...
This paper puts forward a way to design and realize a teaching quality evaluation system for part-time teachers. Through the evaluation of part-time teachers in the teaching process, the quantitative evaluation results of the teaching quality of the course can be gained on the basis of analytic hierarchy process to carry on the distribution of evaluation index weights, fuzzy comprehensive evaluation...
Color-guided depth map up-sampling, such as Markov-Random-Field-based (MRF-based) methods, is a popular depth map enhancement solution, which normally assumes edge consistency between color image and corresponding depth map. It calculates the coefficients of smoothness term in MRF according to such assumption. However, such consistency is not always true which leads to texture-copying artifacts and...
This paper presents a novel intra prediction method for inter pictures (i.e. P pictures and B pictures), denominated enhanced intra prediction (EIP). The traditional intra prediction only uses the reconstructed pixels to the left and above to derive intra prediction blocks. While the proposed method combines the left-above and right-below pixels to strengthen the prediction efficiency of the intra...
Face detection is very important for video surveillance, human-computer interaction, and face recognition. In this paper, a very robust face detection algorithm that can well detect rotated, in-plane, and out-of-plane faces without large amount of training data is proposed. First, several techniques, including the entropy rate superpixel (ERS) and the skin filter, are applied to obtain face candidate...
Great presenters are made, not born—but where they are made is the subject of this workshop. Due to the interactive nature of presentations, many students and instructors alike believe that presentations must be taught in a face to face classroom environment. That belief is challenged in this workshop as the facilitator, who has taught presentations online for well over a decade, shares best practices,...
This workshop is intended to help graduate students and junior faculty successfully prepare a manuscript for publication in the IEEE Transactions on Professional Communication based on a conference presentation.
Twenty four units of 48V DC LED luminary are retrofitted at a 120m2 energy harvesting laboratory located at level five, CleanTech One building for energy efficiency applied research. DC renewable is connected to the building DC grid to power 125 lumen per watt DC LED luminaries system with real time sub-meters' logging, and communicating via Power over Ethernet (PoE) based intelligent control technology...
The possibilities of substitution of the distributed radar object by the geometrical model, composed of two point radiators for normal distribution correlation, have been analyzed. A distribution law of the coordinate noises was used for an adequacy criterion of the model. Relations, that define the limits of the obtainable values for an expected value and a parameter determining a distribution width...
In this paper, a new method with visual saliency detection for image quality assessment (IQA) is proposed. Through the experiments in this paper, we have verified the proposed method can be effective than most others.
We present a technique based on permutations, the well known arcade game Pacman, and limited-precision integers to encode data into balanced codewords. The redundancy that is introduced by the encoding is particularly low. The results are noticeably better than those of previous work. Still, the resources required by our technique remain modest: there is no need for costly calculations using large...
We present a new algorithm to reduce bases for Euclidean lattices. In contrast to the celebrated Lenstra-Lenstra-Lovász (LLL) algorithm that uses the local Lovász exchange rule, the algorithm in this paper utilizes a global exchange strategy that is introduced by Bergman (1980). We show that the algorithm computes an LLL-reduced basis within polynomial time in the size of the input basis.
We propose AccountTrade, a set of accountable protocols, for big data trading among dishonest consumers. To secure the big data trading environment, our protocols achieve book-keeping ability and accountability against dishonest consumers who may misbehave throughout the dataset transactions. Specifically, we study the responsibilities of the consumers in the dataset trading and design AccountTrade...
The growing demands of processing massive datasets have promoted irresistible trends of running machine learning applications on MapReduce. When processing large input data, it is often of greater values to produce fast and accurate enough approximate results than slow exact results. Existing techniques produce approximate results by processing parts of the input data, thus incurring large accuracy...
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