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algorithms comparison for calculating downward longwave radiation by MODIS data under clear and cloudy skies 19

Algorithms comparison for calculating downward longwave radi...

Conference on Remote Sensing of Clouds and the Atmosphere XIX and Optics in Atmospheric Propagation and Adaptive Systems XVII

作者： Yu, Shanshan Xin, Xiaozhou Zhang, Hailong Chinese Acad Sci Inst Remote Sensing & Digital Earth State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China

ISBN: (纸本)9781628413052

Downward longwave radiation (DLR) at the earth's surface is a major component of surface radiation budget and thus the climate, and remote sensing provides the most effective method to get surface DLR on a large scale. This paper presents a comparison of several DLR algorithms for both clear-sky and cloudy-sky conditions. These algorithms were applied to MODIS Terra data and extensively validated using one year's ground data at 13 stations around globe. For clear sky conditions, two algorithms using atmospheric parameters, two algorithms using satellite thermal radiances, and an algorithm that combined using satellite thermal data and atmospheric parameters were compared. The validation result indicated that the first type of algorithms often underestimated DLRs over high altitude regions, while the second type of algorithms performed well over these regions but had significant positive errors over arid regions. The third type of algorithm had acceptable results over all types of regions. Furthermore, the study found that using NCEP derived atmospheric parameters could effectively improve the performance of the first algorithms over high altitude regions, compared with MODIS atmospheric product. For cloudy conditions, three parametric algorithms that determined cloud radiative effect by cloud base temperature, and an empirical algorithm that employed cloud water path and cloud ice path were compared. The validation results indicated that the empirical algorithm had best results in most of the sites, while the three parametric algorithms were greatly influenced by the uncertainties of cloud parameters.

关键词： downward longwave radiation algorithms comparison MODIS NCEP clear-sky cloudy-sky

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comparison of Lake Area Extraction algorithms in Qinghai Tibet Plateau Leveraging Google Earth Engine and Landsat-9 Data

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REMOTE SENSING 2022年第18期14卷 4612-4612页

作者： Li, Xusheng Zhang, Donghui Jiang, Chenchen Zhao, Yingjun Li, Hu Lu, Donghua Qin, Kai Chen, Donghua Liu, Yufeng Sun, Yu Liu, Saisai Beijing Res Inst Uranium Geol Natl Key Lab Remote Sensing Informat & Imagery An Beijing 100029 Peoples R China Chinese Acad Sci Aerosp Informat Res Inst Natl Engn Lab Satellite Remote Sensing Applicat N Beijing 100094 Peoples R China Peking Univ Sch Earth & Space Sci Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China Anhui Normal Univ Sch Geog & Tourism Wuhu 241000 Peoples R China Chuzhou Univ Sch Comp & Informat Engn Chuzhou 239000 Peoples R China

Monitoring the lake waterbody area in the Qinghai-Tibet Plateau (QTP) is significant in dealing with global climate change. The latest released Landsat-9 data, which has higher radiation resolution and can be complemented with other Landsat data to improve imaging temporal resolution, have great potential for applications in lake area extraction. However, no study is published on identifying waterbodies and lakes in large-scale plateau scenes based on Landsat-9 data. Therefore, we relied on the Google Earth Engine (GEE) platform and selected ten waterbody extraction algorithms to evaluate the quantitative evaluation of waterbody and lake area extraction results on the QTP and explore the usability of Landsat-9 images in the relationship between the extraction accuracy and the algorithm. The results show that the random forest (RF) algorithm performs best in all models. The overall accuracy of waterbody extraction is 95.84%, and the average lake waterbody area extraction error is 1.505%. Among the traditional threshold segmentation waterbody extraction algorithms, the overall accuracy of the NDWI waterbody extraction method is 89.89%, and the average error of lake waterbody area extraction is 3.501%, which is the highest performance model in this kind of algorithm. The linear regression coefficients of NDVI and reflectance of Landsat-8 and Landsat-9 data are close to 1, and R-2 is more significant than 0.91. At the same time, the overall accuracy difference of water extraction between the two data is not better than 1.1%. This study proves that Landsat-9 and Landsat-8 data have great consistency, which can be used for collaborative analysis to identify plateau waterbodies more efficiently. With the development of cloud computing technologies, such as Gee, more complex models, such as RF, can be selected to improve the extraction accuracy of the waterbody and lake area in large-scale research.

关键词： Landsat-9 data Qinghai-Tibet Plateau lake waterbody GEE algorithms comparison

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In-depth comparison of the Berlekamp-Massey-Sakata and the Scalar-FGLM algorithms: The adaptive variants

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JOURNAL OF SYMBOLIC COMPUTATION 2020年 101卷 270-303页

作者： Berthomieu, Jeremy Faugere, Jean-Charles Sorbonne Univ CNRS INRIA LIP6Equipe PolSys F-75005 Paris France CryptoNext Secur Paris France

The BERLEKAMP-MASSEY-SAKATA algorithm and the SCALAR-FGLM algorithm both compute the ideal of relations of a multidimensional linear recurrent sequence. Whenever quering a single sequence element is prohibitive, the bottleneck of these algorithms becomes the computation of all the needed sequence terms. As such, having adaptive variants of these algorithms, reducing the number of sequence queries, becomes mandatory. A native adaptive variant of the SCALAR-FGLM algorithm was presented by its authors, the so-called Adaptive SCALAR-FGLM algorithm. In this paper, our first contribution is to make the BERLEKAMP MASSEY-SAKATA algorithm more efficient by making it adaptive to avoid some useless relation testings. This variant allows us to divide by four in dimension 2 and by seven in dimension 3 the number of basic operations performed on some sequence family. Then, we compare the two adaptive algorithms. We show that their behaviors differ in a way that it is not possible to tweak one of the algorithms in order to mimic exactly the behavior of the other. We detail precisely the differences and the similarities of both algorithms and conclude that in general the ADAPTIVE SCALAR-FGLM algorithm needs fewer queries and performs fewer basic operations than the Adaptive BERLEKAMP-MASSEY-SAKATA algorithm. We also show that these variants are always more efficient than the original algorithms. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： The BMS algorithm The SCALAR-FGLM algorithm Grobner basis computation Multidimensional linear recurrent sequence algorithms comparison

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Stereo-DIC Challenge 1.0-Rigid Body Motion of a Complex Shape

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EXPERIMENTAL MECHANICS 2024年第7期64卷 1073-1106页

作者： Ahmad, W. Helm, J. Bossuyt, S. Reu, P. Turner, D. Luan, L. K. Lava, P. Siebert, T. Simonsen, M. Aalto Univ Dept Mech Engn Otakaari 4 Espoo 02150 Finland Lafayette Coll Acopian Engn Ctr Dept Mech Engn Easton PA 18042 USA Sandia Natl Labs Albuquerque NM USA Dantec Dynam Kassbohrerstr 18 D-89077 Ulm Germany MatchID Leikaai 25A B-9000 Ghent Belgium LaVision Anna Vandenhoeck Ring 19 D-37081 Gottingen Germany Correlated Solut 121 Dutchman Blvd Irmo SC 29063 USA

Background Stereo-DIC is a widely used optical measurement technique that provides a dense full-field 3D measurement of the shape, displacement, and strain of a solid sample. When compared with 2D-DIC, Stereo-DIC provides greater flexibility and expands its use beyond flat, planar specimens. Furthermore, the widespread availability of commercial systems has led to the adoption of the technique throughout industry, academia, and government research *** Even though some research has been done to understand the effects of different experimental and stereo-DIC parameters, no reference is available to benchmark and compare the performance of current stereo-DIC algorithms to each *** This paper provides the description and analysis of a carefully controlled 3D experiment and associated images used to compare the results from five subset based DIC software packages. Both the images and analysis codes used in this paper to compare the results are described here and are available for download and use for continued *** We show that over a very large range of motion, the 3D errors are very small, less than 80 mu \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu$$\end{document} m over a travel of +/- 20 mm out-of-plane and +/- 20 mm in-plane. While all codes performed similarly, there are important differences noted in the *** The image sets and results comparison software are hosted by the International DIC Society (***) and are freely available for download and analysis for comparison with results in this paper. Furthermore, it is hoped that this set of images can be used for future research in improving stereo-DIC by future authors.

关键词： Stereo-DIC challenge Metrology algorithms comparison Shape measurement

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Detecting and Extracting Cocoa Pods in the Natural Environment Using Deep Learning Methods 2nd

Detecting and Extracting Cocoa Pods in the Natural Environme...

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3rd International Conference on Digital Technologies and Applications

作者： Ayikpa, Kacoutchy Jean Mamadou, Diarra Sodjinou, Sovi Guillaume Ballo, Abou Bakary Gouton, Pierre Adou, Kablan Jerome Univ Bourgogne Franche Comte ImVia Dijon France Univ Felix Houphouet Boigny LaMI Abidjan Cote Ivoire Univ Virtuelle Cote Ivoire UREN Abidjan Cote Ivoire

ISBN: (纸本)9783031298561;9783031298578

Applications for image processing increasingly rely on object extraction and detection. The harvesting of cocoa pods produces the cocoa beans used to make chocolate. One of the most well-liked goods, chocolate, is made from these beans. It would be possible to develop intuitive ways to assess cocoa pods' ripeness, the presence of pod illnesses, or the amount of cocoa gathered from a specific location by separating cocoa pods from other natural materials. Our research intends to assess how well deep learning-based strategies work for locating and removing cocoa pods from their natural surroundings. This model will allow farmers to count cocoa pods on a specific cocoa plant and, generally, on a defined area. U-Net and FCN algorithms were employed. In the analysis of the results, the algorithms' validation phase yielded scores for U-Net and FCN of 93.61 and 93.06, respectively, and the test phase yielded scores for U-Net and FCN of 92.92 and 94.20, respectively. This indicates that FCN could generalize its learning more accurately than U-NET. These strategies were assessed using the Jaccard similarity coefficient and the Dice coefficient.

关键词： CNN Cocoa-pods algorithms comparison Detection Extraction

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comparison of Several Stochastic and Deterministic Derivative-Free Global Optimization algorithms 18th

Comparison of Several Stochastic and Deterministic Derivativ...

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18th International Conference on Mathematical Optimization Theory and Operations Research (MOTOR)

作者： Sovrasov, Vladislav Lobachevsky State Univ Nizhni Novgorod Nizhnii Novgorod Russia

ISBN: (纸本)9783030226299;9783030226282

In this paper popular open-source solvers are compared against Globalizer solver, which is developed at the Lobachevsky State University. The Globalizer is designed to solve problems with black-box objective function satisfying the Lipschitz condition and shows competitive performance with other similar solvers. The comparison is done on several sets of challenging multi-extremal benchmark functions. Also this work considers a method of heuristic hyperparameters control for the Globalizer allowing to reduce amount of initial tuning before optimization. The proposed scheme allows substantially increase convergence speed of the Globalizer by switching between "local" and "global" search phases in runtime.

关键词： Deterministic global optimization Stochastic global optimization algorithms comparison Derivative-free algorithms Black-box optimization Multi-extremal problems

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A Comparative Study of Classifier algorithms for Recommendation of Banking Products

A Comparative Study of Classifier Algorithms for Recommendat...

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9th World Conference on Information Systems and Technologies (WorldCIST)

作者： Jaramillo, Ivan F. Villarroel-Molina, Ricardo Pico, Bolivar Roberto Redchuk, Andres Univ Tecn Estatal Quevedo Engn Sci Dept Quevedo Ecuador Univ Rey Juan Carlos Super Tech Sch Comp Sci Madrid Spain

ISBN: (纸本)9783030726508;9783030726515

Currently, the processing and storage capacities of computers have facilitated the handling of large volumes of data. Robust classification models are used by organizations in various sectors, but the algorithms are not efficient with all data sets;in fact, high-volume data can significantly change the most promising algorithms. In this work, a comparative study of classification algorithms was developed;To do this, we use a high-volume data set related to banking products purchases. We selected eight important algorithms from the literature in the first stage, but only five reached a second stage after the tree-based algorithms presented memory overflow problems. The criteria for quality evaluation were based on AUC (Area under the curve) measurements and training and testing time;in this investigation, the MARS algorithm was shown to be slightly superior to SVM in classification quality;while in execution times, both for training and for testing, MARS reached lower times. Both the MARS and SVM algorithms could be used as classifiers in this data set;however, the model construction costs should be considered when fractional construction methods are not used.

关键词： Classification algorithms Banking product classification algorithms comparison

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A Closer-to-Reality Model for Comparing Relevant Dimensions of Recommender Systems, with Application to Novelty

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INFORMATION 2021年第12期12卷 500页

作者： Fouss, Francois Fernandes, Elora UCLouvain Louvain Res Inst Management & Org LouRIM Chaussee Binche 151 B-7000 Mons Belgium

Providing fair and convenient comparisons between recommendation algorithms-where algorithms could focus on a traditional dimension (accuracy) and/or less traditional ones (e.g., novelty, diversity, serendipity, etc.)-is a key challenge in the recent developments of recommender systems. This paper focuses on novelty and presents a new, closer-to-reality model for evaluating the quality of a recommendation algorithm by reducing the popularity bias inherent in traditional training/test set evaluation frameworks, which are biased by the dominance of popular items and their inherent features. In the suggested model, each interaction has a probability of being included in the test set that randomly depends on a specific feature related to the focused dimension (novelty in this work). The goal of this paper is to reconcile, in terms of evaluation (and therefore comparison), the accuracy and novelty dimensions of recommendation algorithms, leading to a more realistic comparison of their performance. The results obtained from two well-known datasets show the evolution of the behavior of state-of-the-art ranking algorithms when novelty is progressively, and fairly, given more importance in the evaluation procedure, and could lead to potential changes in the decision processes of organizations involving recommender systems.

关键词： novelty popularity bias data splitting algorithms comparison

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Performance Evaluation and Scheme Selection of Person Re-Identification algorithms in Video Surveillance

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INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS 2019年第4期11卷 50-65页

作者： Lu, Yu Gu, Lingchen Liu, Ju Lan, Peng Shandong Univ Sch Informat Sci & Engn Qingdao Shandong Peoples R China Shandong Agr Univ Sch Informat Sci & Engn Tai An Shandong Peoples R China

With the increasing number of camera networks deployed in public places, intelligent video processing has become a key technology for video surveillance. In order to alleviate the workload of the tracers in the artificial tracking video, person re-identification (re-id) can match a large number of pedestrian images to obtain the location of same person at different time in surveillance. This article focuses on the comparison of different classic distance metric learning methods so as to select optimum person re-identification scheme with excellent performance. The authors compare four algorithms matching Local Maximal Occurrence (LOMO) feature representation on three common databases and obtains a criterion to choose algorithms for different datasets. The selection of re-identification algorithms can simplify the video investigation process according to the size and number of person images. In the end, they propose an improved metric learning based on one of algorithms and get improved results. The re-id is useful and efficient in works such as the criminal investigators etc.

关键词： algorithms comparison Distance Metric Feature Representation Person Re-identification

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A comparative study of sensor fault diagnosis methods based on observer for ECAS system

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2017年第PartB期87卷 169-183页

作者： Xu, Xing Wang, Wei Zou, Nannan Chen, Long Cui, Xiaoli Jiangsu Univ Automot Engn Res Inst Zhenjiang 212013 Peoples R China Jiangsu Univ Sch Automot & Traff Engn Zhenjiang 212013 Peoples R China Hunan Inst Technol Sch Mech Engn Hengyang 412002 Peoples R China

The performance and practicality of electronically controlled air suspension (ECAS) system are highly dependent on the state information supplied by kinds of sensors, but faults of sensors occur frequently. Based on a non-linearized 3-DOF 1/4 vehicle model, different methods of fault detection and isolation (FDI) are used to diagnose the sensor faults for ECAS system. The considered approaches include an extended Kalman filter (EKF) with concise algorithm, a strong tracking filter (STF) with robust tracking ability, and the cubature Kalman filter (CKF) with numerical precision. We propose three filters of EKF, STF, and CKF to design a state observer of ECAS system under typical sensor faults and noise. Results show that three approaches can successfully detect and isolate faults respectively despite of the existence of environmental noise, FDI time delay and fault sensitivity of different algorithms are different, meanwhile, compared with EKF and STF, CKF method has best performing FDI of sensor faults for ECAS system. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Electronically controlled air suspension (ECAS) Sensor faults Fault detection and isolation (FDI) algorithms comparison

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