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You searched for: Subject "photogrammetry" Remove constraint Subject: "photogrammetry"
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1. Cloud detection with boundary nets

Author:
Kang Wu; Zunxiao Xu; Xinrong Lyu; Peng Ren
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.186 pp. 218-231
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; complement; satellites;     Show all 3 Subjects
Abstract:
... In satellite optical images, clouds are normally exhibited at different scales with various boundaries. In order to accurately capture the variable visual forms of clouds, we present a deep learning based strategy, i.e., Boundary Nets, which generates a cloud mask for detecting clouds in one cloudy image. The Boundary Nets consist of two nets, i.e., (a) a scalable-boundary net, and (b) a different ...
DOI:
10.1016/j.isprsjprs.2022.02.010

2. Verification of the photogrammetric approach on the torsion test method for timber beams

Author:
Ahmed Mohamed; Kal Uheida; Yanfang Quan; Hexin Zhang
Source:
International wood products journal 2022 v.13 no.1 pp. 3-14
ISSN:
2042-6453
Subject:
photogrammetry,   etc   ; glulam; wood;     Show all 3 Subjects
Abstract:
... The photogrammetric approach was proposed in this study to evaluate torsional behaviour of glulam timber beams during the torsion test. The main objectives were to investigate the applicability of the photogrammetric approach and to monitor more details of angles of twist of glulam timber beams. Experiments were conducted and the twists on long and short sides of the cross section were measured us ...
DOI:
10.1080/20426445.2021.1983690

3. The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN)

Author:
Zhen Wang; Ruiyuan Li; Ziyue Chen; Qi Yao; Bingbo Gao; Miaoqing Xu; Lin Yang; Manchun Li; Chenghu Zhou
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.190 pp. 38-55
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; prediction; China;     Show all 3 Subjects
Abstract:
... The continuous distributions of PM₂.₅ concentrations and predictor variables in the surrounding regions influence the PM₂.₅ concentrations in the prediction positions notably, yet few machine learning models quantified the spatially continuous interactions between PM₂.₅ concentrations and predictor variations, which limits the prediction accuracy. To fill this gap, a Spatial and Temporal Weighted ...
DOI:
10.1016/j.isprsjprs.2022.05.011

4. Accuracy assessment of external orientation elements for digital images obtained from UAVS using derivatives of implicitly specified functions

Author:
V.M. Hlotov; M.M. Fys; Z. Siejka; M.I. Yurkiv
Source:
Remote sensing applications 2022 v.25 pp. 100683
ISSN:
2352-9385
Subject:
photogrammetry,   etc   ; algorithms; landscapes;     Show all 3 Subjects
Abstract:
... The purpose of investigation is to develop an algorithm for determining the a priori accuracy assessment of the external orientation angle elements of digital images obtained from UAVs. Formulas for estimating the accuracy of external orientation elements are determined by the derivatives of many variables functions, which are the solutions of linear equations systems. These systems are obtained b ...
DOI:
10.1016/j.rsase.2021.100683

5. A novel solution for stereo three-dimensional localization combined with geometric semantic constraints based on spaceborne SAR data

Author:
Yitong Luo; Xiaolan Qiu; Lingxiao Peng; Wei Wang; Bei Lin; Chibiao Ding
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.192 pp. 161-174
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; geometry; models;     Show all 3 Subjects
Abstract:
... Improved resolution and geolocation accuracy of spaceborne SAR images make refined digital surface model extraction and delicate three-dimensional reconstruction promising. Currently, extracting a refined digital surface model by stereo SAR remains challenging due to the significant matching errors. In this paper, we quantitatively analyze the effect of matching errors on stereo SAR based on a sim ...
DOI:
10.1016/j.isprsjprs.2022.08.017

6. Evaluation of Test Field-based Calibration and Self-calibration Models of UAV Integrated Compact Cameras

Author:
Gülüstan Kılınç Kazar; Hakan Karabörk; Hasan Bilgehan Makineci
Source:
Journal of the Indian Society of Remote Sensing 2022 v.50 no.1 pp. 13-23
ISSN:
0255-660X
Subject:
photogrammetry,   etc   ; cameras; computer software;     Show all 3 Subjects
Abstract:
... Unmanned aerial vehicles (UAVs), which have made a name for themselves in photogrammetry studies in recent years, provide users with integrated camera systems. Identifying interior orientation parameters, such as focal coordinates, focal length and distortions, is an essential requirement for camera systems used for photogrammetric purposes. This process, which is called camera calibration, is off ...
DOI:
10.1007/s12524-021-01454-y

7. Robust feature matching via neighborhood manifold representation consensus

Author:
Jiayi Ma; Zizhuo Li; Kaining Zhang; Zhenfeng Shao; Guobao Xiao
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.183 pp. 196-209
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; image analysis; models;     Show all 3 Subjects
Abstract:
... Feature matching, which aims at seeking dependable correspondences between two sets of features, is of considerable significance to various vision-based tasks. This paper attempts to eliminate false correspondences from given tentative correspondences created on the basis of descriptor similarity. A simple yet efficient approach named neighborhood manifold representation consensus (NMRC) for robus ...
DOI:
10.1016/j.isprsjprs.2021.11.004

8. Spatial context-aware method for urban land use classification using street view images

Author:
Fang Fang; Linyun Zeng; Shengwen Li; Daoyuan Zheng; Jiahui Zhang; Yuanyuan Liu; Bo Wan
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.192 pp. 1-12
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; land use; prediction;     Show all 3 Subjects
Abstract:
... Street view images (SVIs) have great potential for automatic land use classification. Previous studies have paid little attention to the spatial context of SVIs and land parcels, leaving room for improvement in classification accuracy and identification of parcels without SVIs. This study proposes a novel spatial context-aware method for land use classification that synthesizes SVI content and spa ...
DOI:
10.1016/j.isprsjprs.2022.07.020

9. A Supervoxel-Based Random Forest Method for Robust and Effective Airborne LiDAR Point Cloud Classification

Author:
Lingfeng Liao; Shengjun Tang; Jianghai Liao; Xiaoming Li; Weixi Wang; Yaxin Li; Renzhong Guo
Source:
Remote Sensing 2022 v.14 no.6 pp. -
ISSN:
2072-4292
Subject:
photogrammetry,   etc   ; data collection; lidar;     Show all 3 Subjects
Abstract:
... As an essential part of point cloud processing, autonomous classification is conventionally used in various multifaceted scenes and non-regular point distributions. State-of-the-art point cloud classification methods mostly process raw point clouds, using a single point as the basic unit and calculating point cloud features by searching local neighbors via the k-neighborhood method. Such methods t ...
DOI:
10.3390/rs14061516

10. Task-specific contrastive learning for few-shot remote sensing image scene classification

Author:
Qingjie Zeng; Jie Geng
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.191 pp. 143-154
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; data collection; models;     Show all 3 Subjects
Abstract:
... Deep neural network has been successfully applied to remote sensing image scene classification, which requires a large amount of annotated data for training. However, it is time-consuming and labor-intensive to obtain abundant labeled samples in various applications. Therefore, it is of great importance to conduct scene classification with only a few annotated images. In order to address the issue ...
DOI:
10.1016/j.isprsjprs.2022.07.013

11. Weakly supervised semantic segmentation of airborne laser scanning point clouds

Author:
Yaping Lin; George Vosselman; Michael Ying Yang
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.187 pp. 79-100
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; data collection; models;     Show all 3 Subjects
Abstract:
... While modern deep learning algorithms for semantic segmentation of airborne laser scanning (ALS) point clouds have achieved considerable success, the training process often requires a large number of labelled 3D points. Pointwise annotation of 3D point clouds, especially for large scale ALS datasets, is extremely time-consuming work. Weak supervision that only needs a few annotation efforts but ca ...
DOI:
10.1016/j.isprsjprs.2022.03.001

12. HyperLoopNet: Hyperspectral image classification using multiscale self-looping convolutional networks

Author:
Shivam Pande; Biplab Banerjee
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.183 pp. 422-438
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; hyperspectral imagery; image analysis;     Show all 3 Subjects
Abstract:
... Hyperspectral image (HSI) classification using convolutional neural networks (CNNs) has always been a hot topic in the field of remote sensing. This is owing to the high level feature extraction offered by CNNs that enables efficient encoding of the features at several stages. However, the drawback with CNNs is that for exceptional performance, they need a deeper and wider architecture along with ...
DOI:
10.1016/j.isprsjprs.2021.11.021

13. A visual saliency-driven extraction framework of smoothly embedded entities in 3D point clouds of open terrain

Author:
Reuma Arav; Sagi Filin
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.188 pp. 125-140
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; data collection; landscapes; topography;     Show all 4 Subjects
Abstract:
... Three-dimensional documentation of natural and cultural geosites is gaining increasing attention as an indicative tool for environmental change. However, the entities therein pose a challenge to current extraction schemes due to their varying dimensions, complex shape, and most importantly, their seamless embedding in the surrounding topography. It is common to approach the extraction of these ent ...
DOI:
10.1016/j.isprsjprs.2022.04.003

14. Deep-learning generation of POI data with scene images

Author:
Jinbao Zhang; Xiaojuan Liu; Weilin Liao; Xia Li
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.188 pp. 201-219
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; data collection; models; China;     Show all 4 Subjects
Abstract:
... Point of interest (POI) is essential to urban scene understanding and location-based services. However, most of the POI data sets are collected manually on the spot, which is time-consuming and laborious. In this study, we propose a deep learning-based three-stage framework to automatically generate POI data sets from scene images by integrating instance segmentation, scene text recognition (STR), ...
DOI:
10.1016/j.isprsjprs.2022.04.004

15. ResDepth: A deep residual prior for 3D reconstruction from high-resolution satellite images

Author:
Corinne Stucker; Konrad Schindler
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.183 pp. 560-580
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; geometry; neural networks; satellites;     Show all 4 Subjects
Abstract:
... Modern optical satellite sensors enable high-resolution stereo reconstruction from space. But the challenging imaging conditions when observing the Earth from space push stereo matching to its limits. In practice, the resulting digital surface models (DSMs) are fairly noisy and often do not attain the accuracy needed for high-resolution applications such as 3D city modeling. Arguably, stereo corre ...
DOI:
10.1016/j.isprsjprs.2021.11.009

16. UAV in the advent of the twenties: Where we stand and what is next

Author:
F. Nex; C. Armenakis; M. Cramer; D.A. Cucci; M. Gerke; E. Honkavaara; A. Kukko; C. Persello; J. Skaloud
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.184 pp. 215-242
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; computer software; computer vision;     Show all 3 Subjects
Abstract:
... The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. However, the development of best practices for high quality of UAV mapping are often overlooked representing a drawback for their wider adoption. ...
DOI:
10.1016/j.isprsjprs.2021.12.006

17. GeoRec: Geometry-enhanced semantic 3D reconstruction of RGB-D indoor scenes

Author:
Linxi Huan; Xianwei Zheng; Jianya Gong
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.186 pp. 301-314
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; cameras; data collection; geometry;     Show all 4 Subjects
Abstract:
... Semantic indoor 3D modeling with multi-task deep neural networks is an efficient and low-cost way for reconstructing an indoor scene with geometrically complete room structure and semantic 3D individuals. Challenged by the complexity and clutter of indoor scenarios, the semantic reconstruction quality of current methods is still limited by the insufficient exploration and learning of 3D geometry i ...
DOI:
10.1016/j.isprsjprs.2022.02.014

18. A Geomatic Approach to the Preservation and 3D Communication of Urban Cultural Heritage for the History of the City: The Journey of Napoleon in Venice

Author:
Giulia Fiorini; Isabella Friso; Caterina Balletti
Source:
Remote Sensing 2022 v.14 no.14 pp. -
ISSN:
2072-4292
Subject:
photogrammetry,   etc   ; Internet; cultural heritage; models;     Show all 4 Subjects
Abstract:
... The use of historical maps in a digital environment can give considerable support to the study of the history of cities. It allows you to combine information from different sources, processed according to different geomatic techniques, to provide a reconstruction of urban configurations of the past and their comparison with iconographic and textual documentation of the same period. The aim of the ...
DOI:
10.3390/rs14143242

19. Leveraging vocabulary tree for simultaneous match pair selection and guided feature matching of UAV images

Author:
San Jiang; Wanshou Jiang; Bingxuan Guo
Source:
ISPRS journal of photogrammetry and remote sensing 2022 v.187 pp. 273-293
ISSN:
0924-2716
Subject:
photogrammetry,   etc   ; algorithms; data collection; databases;     Show all 4 Subjects
Abstract:
... Structure from Motion (SfM) has been a golden standard technique for UAV image orientation. However, the high combinational complexity of match pairs and the high outlier ratio of initial matches become two major issues in SfM-based image orientation. This paper presents an integrated workflow to achieve simultaneously match pair selection and guided feature matching for image orientation. The cor ...
DOI:
10.1016/j.isprsjprs.2022.03.006

20. A Quadrifocal Tensor SFM Photogrammetry Positioning and Calibration Technique for HOFS Aerial Sensors

Author:
Tao Wang; Yan Zhang; Yongsheng Zhang; Ying Yu; Lei Li; Shaocong Liu; Xiang Zhao; Zhenchao Zhang; Longhui Wang
Source:
Remote Sensing 2022 v.14 no.15 pp. -
ISSN:
2072-4292
Subject:
photogrammetry,   etc   ; calibration; cameras; computer software;     Show all 4 Subjects
Abstract:
... Nowadays, the integration between photogrammetry and structure from motion (SFM) has become much closer, and many attempts have been made to combine the two approaches to realize the positioning, calibration, and 3D reconstruction of a large number of images. For the positioning and calibration of high oblique frame sweep (HOFS) aerial cameras, a quadrifocal tensor SFM photogrammetry technique is ...
DOI:
10.3390/rs14153521