Object-field. The multi-resolution study of topological optimization by Samuel Bernier-Lavigne

Subjects: “…object-field…”
Get full text

Neutrality and the Dutch Objection Procedure by Marc Wever, Albert T. Marseille

Get full text

Bilateral Reference for High-Resolution Dichotomous Image Segmentation by Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe

Subjects: Get full text

Pretrained Detail Enhancement Framework for Remote Sensing Object Detection by Mo Zhou, Yue Zhou, Dawei Yang, Kai Song

Subjects: Get full text

Low-Resolution Target Detection with High-Frequency Information Preservation by Feng Zhang, Hongyang Bai, Wenlong Yin, Ze Li, Hailong Ma, Lei Chen

Subjects: “…low-resolution object…”
Get full text

Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features by Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao

“…The analysis at profile intervals of 0.25 mm, 0.5 mm, and 1 mm revealed a strong correlation between JRC accuracy and three parameters: object space resolution error, spatial distance between point cloud points, and spatial errors of checkpoints on the orientation board. …”
Get full text

Object-based change detection method for high-resolution remote sensing image combining shadow compensation and multi-scale fusion by Chao WANG, Xuehong ZHANG, Aiye SHI, Dan LI, Yi SHEN

“…As an interpreting symbol of remote sensing images,shadow,however,brings about “pseudo changes”,which is one of the main sources leading to error detection in high-resolution remote sensing image change detection.For this issue,an object-based high-resolution remote sensing image change detection method was proposed combining with shadow compensation and multi-scale fusion.In the object orientation detection framework,the shadows in the remote sensing images were extracted.Then multi-scale change detection was conducted with shadow compensation.In the process,an objective function was constructed of mutual scale information minimization to realize the adaptive extraction of scale parameters.Based on this,combined with the shadow compensation factor,a multi-scale decision-level fusion strategy built on D-S theory of evidence was designed,and the levels of change intensity were further divided.The experiments show that the method is effective in solving the error detection problem caused by shadow,significantly improving the precision of change detection.…”
Get full text

Research on Building Extraction Based on Object-oriented CART Classification Algorithm and GF-2 Satellite Images by HUANG Wei, CUI Zhimei, HUANMG Zhidu, WU Rongrong

Subjects: “…|object-oriented|high-resolution image|image segmentation|cart decision tree|building extraction…”
Get full text

ALIGNING STRATEGIC OBJECTIVES TO CORPORATE GOVERNANCE OBJECTIVES IN CONSTRUCTION PROFESSIONAL SERVICE FIRMS by Frank Boateng, De-Graft Owusu-Manu, Michael Adesi, Erika Parn, David John Edwards

“…The analysis results revealed a significant relationship at p < 0.05 between strategic corporate objectives and corporate governance objectives focusing on credibility, conflict resolution, channels of reporting, influencing performance, transparency in initial public offerings (IPOs); control of corporate corruption; and reputation of the firm. …”
Get full text

A Comparative Analysis of Spatial Resolution Sentinel-2 and Pleiades Imagery for Mapping Urban Tree Species by Fabio Recanatesi, Antonietta De Santis, Lorenzo Gatti, Alessio Patriarca, Eros Caputi, Giulia Mancini, Chiara Iavarone, Carlo Maria Rossi, Gabriele Delogu, Miriam Perretta, Lorenzo Boccia, Maria Nicolina Ripa

“…Recent advances in remote sensing, especially high-resolution multispectral imagery and object-based image analysis (OBIA), offer efficient alternatives for mapping urban vegetation. …”
Get full text

A Wideband Chemical Survey of Massive Star-forming Regions at Subarcsecond Resolution with the Submillimeter Array by Charles J. Law, Qizhou Zhang, Arielle C. Frommer, Karin I. Öberg, Roberto Galván-Madrid, Eric Keto, Hauyu Baobab Liu, Paul T. P. Ho, Andrés F. Izquierdo, L. Ilsedore Cleeves

Subjects: “…Young stellar objects…”
Get full text

Purpose, subject matter and objectives of forensic medicine by O. S. Moiseyenko

“…It has been generalised that forensic medical examination as a subject of forensic medicine is a scientific and practical research carried out by specially trained specialists with the aim of providing an objective assessment of medical issues in cases brought before a court. …”
Get full text

The Application of Fast Fourier Transform Filtering to High Spatial Resolution Digital Terrain Models Derived from LiDAR Sensors for the Objective Mapping of Surface Features and Digital Terrain Model Evaluations by Alberto González-Díez, Ignacio Díaz-Martínez, Pablo Cruz-Hernández, Antonio Barreda-Argüeso, Matthew Doughty

“…In this paper, the application is investigated of fast Fourier transform filtering (FFT-FR) to high spatial resolution digital terrain models (HR-DTM) derived from LiDAR sensors, assessing its efficacy in identifying genuine relief elements, including both natural geological features and anthropogenic landforms. …”
Get full text

Arbitration in Administrative Affairs: The Enlargement Scope of Ratione Materiae in Portugal by Marta Portocarrero

Subjects: “…alternative dispute resolution, administrative arbitration, arbitration procedure, objective arbitrability, Portugal…”
Get full text

Recognition of UAVs in Infrared Images Based on YOLOv8 by Gang Zhou, Xiuqi Liu, Hongliang Bi

Subjects: Get full text

THE COLORIMETRY WITH A HIGH DIMENSIONAL RESOLUTION by I. E. Zuikov, E. N. Savkova

Get full text

LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

Subjects: Get full text

Small Object Detection with Multiscale Features by Guo X. Hu, Zhong Yang, Lei Hu, Li Huang, Jia M. Han

“…The detection models can get better results for big object. However, those models fail to detect small objects that have low resolution and are greatly influenced by noise because the features after repeated convolution operations of existing models do not fully represent the essential characteristics of the small objects. …”
Get full text

Survey of identity resolution system in industrial Internet of things by Yuzheng REN, Renchao XIE, Shiqin ZENG, Haoran ZHAO, Jiayi YU, Ru HUO, Tao HUANG, Yunjie LIU

“…With the development of the internet of things (IoT),5G and industrial technology,industrial IoT has become a new research field.Due to the specific requirements of delay,security and stability in industrial production,the traditional DNS has limitations to meet the needs of industrial IoT because of its single identity object,rigid resolution results,and weak security.In this context,how to provide efficient,flexible and secure resolution services for universal objects has become a hot area worldwide.Firstly,we discussed the design principles and key supporting technologies of the identity resolution system in industrial IoT.Then summarized and compared the existing identity resolution systems in detail.Next,the new identity resolution schemes in academic research were introduced.Finally,the core problems and the future research trend in this field were discussed.…”
Get full text

On the Multimodal Resolution of a Search Sequence in Virtual Reality by Nils Klowait

Get full text