UAV-based integrated multispectral-LiDAR imaging system and data processing

Gu, Yanfeng; Jin, Xudong; Xiang, RunZi; Wang, QingWang; Wang, Chen; Yang, Shengxiong

doi:10.1007/s11431-019-1571-0

Cited by 21 publications

(6 citation statements)

References 19 publications

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“…However, because the object information sensed by a single sensor device is not comprehensive and vulnerable to external interference, people began to study the method of target detection by fusing the image information obtained by the camera and the point cloud information obtained by the lidar [13][14][15]. The fusion methods include data level fusion, feature level fusion, and result level fusion.…”

Section: Introductionmentioning

confidence: 99%

Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm

2022

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With the development of artificial intelligence, Internet of things, machine learning, and many other technologies, animation design task based on algorithm theory has become a research hotspot in the field. In recent years, perception technology has gradually become the key technology of animation design, and it is also the key research content in the current field. Whether the perception system can design animation quickly and accurately is the key of research. Compared with other algorithms, using AVOD (Aggregate view object detection) algorithm for animation design has obvious advantages. The original AVOD algorithm has some problems, such as low clustering efficiency, insufficient depth of feature extraction network, and occupying a large amount of memory. Based on this, this paper proposes to use the googleNet network and initial model of k-means++ to extract features and establish an optimized AVOD algorithm. At the same time, in order to illustrate the effectiveness of the optimization method, two typical cases are introduced to provide scientific guidance and reference for the research in this field.

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Section: Introductionmentioning

confidence: 99%

Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm

2022

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“…The use of multispectral and other UAV sensors has been limited, and further research is required in this area to overcome many issues, such as mitigating the influence of plants and trees on heavily vegetated unstable slopes [85]. A good example is presented by [171], where UAV-based integrated multispectral-LiDAR is characterized by the advantage of mitigating the influence of vegetation. However, such advanced techniques are challenged by several difficulties, including (i) precise data co-registration between multiple sensors, (ii) handling the inconsistency between resolutions, and (iii) integrated hyperspectral 3D data generation.…”

Section: Suitability Of Gm and Uav Methodsmentioning

confidence: 99%

Review on the Geophysical and UAV-Based Methods Applied to Landslides

et al. 2022

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Landslides (LS) represent geomorphological processes that can induce changes over time in the physical, hydrogeological, and mechanical properties of the involved materials. For geohazard assessment, the variations of these properties might be detected by a wide range of non-intrusive techniques, which can sometimes be confusing due to their significant variation in accuracy, suitability, coverage area, logistics, timescale, cost, and integration potential; this paper reviews common geophysical methods (GM) categorized as Emitted Seismic and Ambient Noise based and proposes an integrated approach between them for improving landslide studies; this level of integration (among themselves) is an important step ahead of integrating geophysical data with remote sensing data. The aforementioned GMs help to construct a framework based on physical properties that may be linked with site characterization (e.g., a landslide and its subsurface channel geometry, recharge pathways, rock fragments, mass flow rate, etc.) and dynamics (e.g., quantification of the rheology, saturation, fracture process, toe erosion, mass flow rate, deformation marks and spatiotemporally dependent geogenic pore-water pressure feedback through a joint analysis of geophysical time series, displacement and hydrometeorological measurements from the ground, air and space). A review of the use of unmanned aerial vehicles (UAV) based photogrammetry for the investigation of landslides was also conducted to highlight the latest advancement and discuss the synergy between UAV and geophysical in four possible broader areas: (i) survey planning, (ii) LS investigation, (iii) LS dynamics and (iv) presentation of results in GIS environment. Additionally, endogenous source mechanisms lead to the appearance of deformation marks on the surface and provide ground for the integrated use of UAV and geophysical monitoring for landslide early warning systems. Further development in this area requires UAVs to adopt more multispectral and other advanced sensors where their data are integrated with the geophysical one as well as the climatic data to enable Artificial Intelligent based prediction of LS.

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“…Still, in the long-term and extreme flood events, this situation often develops into landslides on riverbanks. It may also induce several issues, such as river blockage, a shift of river channel position, or flooding from rising riverbeds [3] . Consequently, it may lead to the collapse of roads and bridges built along the river network [4] .…”

Section: Introductionmentioning

confidence: 99%

Seismic signatures and site characterization of an intermittent stream in dry and flood conditions: an implication for soil losses and landslide triggering

et al. 2023

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The seasonal soil losses and frequent shallow landslides in the Cerrado region of Brazil have high destructive potential with social, economic, and climatic implications. As fluvial systems substantially drive such environmental threats; therefore, it is essential to conduct geological site characterization and continuously monitor the rivers' and streams' seasonal erosive potentials. However, in such unstable and sensitive conditions, traditional intrusive investigation approaches may not be safe, the geophysical investigation might offer a good alternative. For the present study, a geophysical approach (particularly the seismic method) was adopted to examine the seismic footprints and GPR site characterization of a seasonal stream in the Rua do Matto, Brasilia, Brazil. The monitoring was conducted (at a safe distance) on the intermittent stream over several durations of dry (no rain) and rainy (flood) conditions. After pre-processing the raw data, the power spectral density (PSDs) was computed as a function of several variables (wind speed), time-frequency spectrograms, ambient noise displacement root mean square (RMS), the single station horizontal-to-vertical spectral ratio (HVSR) curves. In addition, changepoint analysis was used for comparing the ambient noise with wind speed (both were well correlated). The GPR amplitude and waveform variation features were attributed to the subsurface material and the presence of boulders in the floodplain and regions (low coherence value) susceptible to erosion (weak spots). The river flows were evident in the spectrograms, HVSR curves and different patterns of RMS displacements (at selective frequency ranges). The multi-peaks that emerged on the HVSR curve are further analyzed for changes in amplitude, width and troughs possibly related to river activities and soil moisture due to rain. The approach provides the basis for non-destructive monitoring tools enabling the detection of 'seismic signatures' and weak spots of the fluvial channels for improving environmental management.

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UAV-based integrated multispectral-LiDAR imaging system and data processing

Cited by 21 publications

References 19 publications

Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm

Animation Design of Multisensor Data Fusion Based on Optimized AVOD Algorithm

Review on the Geophysical and UAV-Based Methods Applied to Landslides

Seismic signatures and site characterization of an intermittent stream in dry and flood conditions: an implication for soil losses and landslide triggering

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