找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Optimal Surface Fitting of Point Clouds Using Local Refinement; Application to GIS D Ga?l Kermarrec,Vibeke Skytt,Tor Dokken Book‘‘‘‘‘‘‘‘ 20

[復(fù)制鏈接]
查看: 47509|回復(fù): 38
樓主
發(fā)表于 2025-3-21 17:53:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement
副標(biāo)題Application to GIS D
編輯Ga?l Kermarrec,Vibeke Skytt,Tor Dokken
視頻videohttp://file.papertrans.cn/703/702934/702934.mp4
概述This book is open access, which means that you have free and unlimited access.Provides a comprehensive description of an innovative surface approximation method for large data set.Shows a new procedur
叢書(shū)名稱(chēng)SpringerBriefs in Earth System Sciences
圖書(shū)封面Titlebook: Optimal Surface Fitting of Point Clouds Using Local Refinement; Application to GIS D Ga?l Kermarrec,Vibeke Skytt,Tor Dokken Book‘‘‘‘‘‘‘‘ 20
描述This open access book provides insights into the novel Locally Refined B-spline (LR B-spline) surface format, which is suited for representing terrain and seabed data in a compact way. It provides an alternative to the well know raster and triangulated surface representations. An LR B-spline surface has an overall smooth behavior and allows the modeling of local details with only a limited growth in data volume. In regions where many data points belong to the same smooth area, LR B-splines allow a very lean representation of the shape by locally adapting the resolution of the spline space to the size and local shape variations of the region. The iterative method can be modified to improve the accuracy in particular domains of a point cloud. The use of statistical information criterion can help determining the optimal threshold, the number of iterations to perform as well as some parameters of the underlying mathematical functions (degree of the splines, parameter representation). The resulting surfaces are well suited for analysis and computing secondary information such as contour curves and minimum and maximum points. Also deformation analysis are potential applications of fittin
出版日期Book‘‘‘‘‘‘‘‘ 2023
關(guān)鍵詞Open Access; Surface Modeling; Optimum Point Cloud Approximation; Akaike Information Criterion; LR B-Spl
版次1
doihttps://doi.org/10.1007/978-3-031-16954-0
isbn_softcover978-3-031-16953-3
isbn_ebook978-3-031-16954-0Series ISSN 2191-589X Series E-ISSN 2191-5903
issn_series 2191-589X
copyrightThe Author(s) 2023
The information of publication is updating

書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement影響因子(影響力)




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement被引頻次




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement被引頻次學(xué)科排名




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement年度引用




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement年度引用學(xué)科排名




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement讀者反饋




書(shū)目名稱(chēng)Optimal Surface Fitting of Point Clouds Using Local Refinement讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:54:17 | 只看該作者
板凳
發(fā)表于 2025-3-22 04:23:04 | 只看該作者
地板
發(fā)表于 2025-3-22 06:21:01 | 只看該作者
5#
發(fā)表于 2025-3-22 09:04:38 | 只看該作者
6#
發(fā)表于 2025-3-22 15:55:07 | 只看該作者
7#
發(fā)表于 2025-3-22 17:21:23 | 只看該作者
8#
發(fā)表于 2025-3-22 23:00:32 | 只看該作者
9#
發(fā)表于 2025-3-23 05:16:12 | 只看該作者
10#
發(fā)表于 2025-3-23 09:06:33 | 只看該作者
LR B-Splines for Representation of Terrain and Seabed: Data Fusion, Outliers, and Voids,arying data density, (ii) outliers should be eliminated without deleting features, (iii) voids, also called holes, or data gaps should be treated specifically to avoid the drop of the approximated surface in domains without points. These factors tend to be even more challenging when point clouds acq
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 00:36
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
旅游| 凤庆县| 乌兰察布市| 乌兰县| 从江县| 隆化县| 永登县| 广水市| 宝应县| 依兰县| 平安县| 龙州县| 阿拉善右旗| 长海县| 和政县| 昭平县| 台南市| 永顺县| 扶风县| 清水县| 齐齐哈尔市| 大埔区| 临沂市| 汨罗市| 日土县| 固安县| 罗山县| 贺州市| 文安县| 漠河县| 仙游县| 封开县| 会宁县| 日土县| 博乐市| 平谷区| 锡林郭勒盟| 栾川县| 苗栗市| 化隆| 科尔|