Rongjun Qin

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.

TL;DR: 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.

TL;DR: The results confirm the accuracy of the proposed multi-level method for monitoring subtle urban changes, achieving Kappa coefficients of ~ 0.8 at the pixel level and a correctness of 93–95% at the grid level, and indicates that the rapid urban construction led to greater fragmentation and spatial heterogeneity of buildings and decreased minimum distance between building patches.

TL;DR: In this article, the authors proposed a method for change detection at street level by using combination of mobile laser scanning (MLS) point clouds and terrestrial images: the accurate but expensive MLS data acquired from an early epoch serves as the reference, and terrestrial image or photogrammetric images captured from an image-based mobile mapping system at a later epoch are used to detect the geometrical changes between different epochs.

TL;DR: A novel method is proposed to detect changes directly on LOD (Level of Detail) 2 building models with VHR spaceborne stereo images from a different date, with particular focus on addressing the special characteristics of the 3D models.