Results 21 to 30 of about 2,663 (142)
COMPARISON OF THE LINEAR AND THE NON-LINEAR BLOCK ADJUSTMENT ON SATELLITE IMAGES RESEARCH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The Rational Function Model （RFM） is a non-linear model. Usually, the RFM-based satellite image block adjustment uses the Taylor series to expand error equations, and then solves the linear model.
C. Li, C. Chen, Z. Guo, Z. Guo, Q. Liu
doaj +1 more source
Remote Sensing, 2023 The Gaofen-1 (GF-1) and Gaofen-6 (GF-6) satellites have acquired many GF-1 and GF-6 wide-field-view (WFV) images. These images have been made available for free use globally.
Xiaojun Shan, Jingyi Zhang
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2020 Perkembangan bisnis alat tulis kantor dan sekolah saat ini banyak yang menjanjikan, maka banyak bermunculan pemasok baru dalam bisnis Alat Tulis Kantor dan Sekolah (ATKS).
Basri Basri +2 more
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Identifying customer priority for new products in target marketing: Using RFM model and TextRank [PDF]
Innovative Marketing, 2021 Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate.
Seongbeom Hwang, Yuna Lee
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Testing and modeling of rockfill materials: A review
Journal of Rock Mechanics and Geotechnical Engineering, 2016 The research development of rockfill materials (RFM) was investigated by a series of large-scale triaxial tests. It is observed that confining pressure and particle breakage play important roles in the mechanical property, dilatancy relation and ...
Yang Xiao +5 more
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A SOLUTION TO LOW RFM FITTING PRECISION OF PLANETARY ORBITER IMAGES CAUSED BY EXPOSURE TIME CHANGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper, we propose a new solution to the low RFM fitting precision caused by exposure time changing using sensor correction. First, we establish a new rigorous geometric model, with the same ephemerides, attitudes and sensor design parameters of ...
B. Liu, B. Xu, K. Di, M. Jia
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Applied Sciences, 2021 Supervised machine learning and its algorithms are a developing trend in the prediction of rockfill material (RFM) mechanical properties. This study investigates supervised learning algorithms—support vector machine (SVM), random forest (RF), AdaBoost ...
Mahmood Ahmad +7 more
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Angewandte Chemie, EarlyView.Fluorescence‐based visualization and targeted mass–spectrometric enrichment of membrane‐embedded isoprenoids in Bacillus subtilis via cell‐permeant, alkynylated DMAPP analogs. ABSTRACT Isoprenoids are a chemically and functionally diverse class of metabolites that underlie essential bacterial physiology including respiration and cell envelope ...
Zackary N. Hulsey +7 more
wiley +2 more sources
A NEW OPTIMIZED RFM OF HIGH-RESOLUTION SATELLITE IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Over-parameterization and over-correction are two of the major problems in the rational function model (RFM). A new approach of optimized RFM (ORFM) is proposed in this paper.
C. Li, C. Li, X. J. Liu, T. Deng
doaj +1 more source
Remote Sensing, 2021 Numerous earth observation data obtained from different platforms have been widely used in various fields, and geometric calibration is a fundamental step for these applications.
Niangang Jiao, Feng Wang, Hongjian You
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