3D change detection – Approaches and applications
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This paper reviews the recent developments and applications of 3D CD using remote sensing and close-range data, in support of both academia and industry researchers who seek for solutions in detecting and analyzing 3D dynamics of various objects of interest.Abstract:
Due to the unprecedented technology development of sensors, platforms and algorithms for 3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the form of image based, Light Detection and Ranging (LiDAR) based point clouds, Digital Elevation Models (DEM) and 3D city models, become more accessible than ever before Change detection (CD) or time-series data analysis in 3D has gained great attention due to its capability of providing volumetric dynamics to facilitate more applications and provide more accurate results The state-of-the-art CD reviews aim to provide a comprehensive synthesis and to simplify the taxonomy of the traditional remote sensing CD techniques, which mainly sit within the boundary of 2D image/spectrum analysis, largely ignoring the particularities of 3D aspects of the data The inclusion of 3D data for change detection (termed 3D CD), not only provides a source with different modality for analysis, but also transcends the border of traditional top-view 2D pixel/object-based analysis to highly detailed, oblique view or voxel-based geometric analysis This paper reviews the recent developments and applications of 3D CD using remote sensing and close-range data, in support of both academia and industry researchers who seek for solutions in detecting and analyzing 3D dynamics of various objects of interest We first describe the general considerations of 3D CD problems in different processing stages and identify CD types based on the information used, being the geometric comparison and geometric-spectral analysis We then summarize relevant works and practices in urban, environment, ecology and civil applications, etc Given the broad spectrum of applications and different types of 3D data, we discuss important issues in 3D CD methods Finally, we present concluding remarks in algorithmic aspects of 3D CDread more
Citations
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Journal ArticleDOI
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Hao Chen,Zhenwei Shi +1 more
TL;DR: This work proposes a novel Siamese-based spatial–temporal attention neural network, which improves the F1-score of the baseline model from 83.9 to 87.3 with acceptable computational overhead and introduces a CD dataset LEVIR-CD, which is two orders of magnitude larger than other public datasets of this field.
High-Resolution Monitoring of Himalayan Glacier Dynamics Using Unmanned Aerial Vehicles
Walter W. Immerzeel,Philip Kraaijenbrink,Joseph M. Shea,Arun Bhakta Shrestha,Francesca Pellicciotti,Francesca Pellicciotti,Marc F. P. Bierkens,S.M. de Jong +7 more
TL;DR: In this article, a UAV was deployed over the debris-covered tongue of the Lirung Glacier in Nepal and the mass loss and surface velocity of the glacier were derived based on ortho-mosaics and digital elevation models.
Journal ArticleDOI
Unmanned Aerial Vehicle for Remote Sensing Applications—A Review
TL;DR: This paper performs a critical review on RS tasks that involve UAV data and their derived products as their main sources including raw perspective images, digital surface models, and orthophotos and focuses on solutions that address the “new” aspects of the U drone data including ultra-high resolution; availability of coherent geometric and spectral data; and capability of simultaneously using multi-sensor data for fusion.
Journal ArticleDOI
Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
Wenzhong Shi,Min Zhang,Min Zhang,Rui Zhang,Shanxiong Chen,Shanxiong Chen,Zhao Zhan,Zhao Zhan +7 more
TL;DR: This review focuses on the state-of-the-art methods, applications, and challenges of AI for change detection, and the commonly used networks in AI forchange detection are described.
Journal ArticleDOI
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
TL;DR: In this article, the authors summarized available data sets and relevant studies on recent developments in point cloud semantic segmentation and point cloud segmentation (PCS) for 3D point clouds.
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