FLASH lidar data collections in terrestrial and ocean environments

Gelbart, Asher; Weber, Christopher R.; Bybee-Driscoll, Shannon; Freeman, Jonathan D.; Fetzer, Gregory J.; Seales, T.; McCarley, Karen A.; Wright, James A.

doi:10.1117/12.501595

Cited by 6 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, LiDAR (light detection and ranging) technology has developed rapidly due to its high accuracy, low cost, portability, and wide application range such as in autonomous driving [1][2][3][4][5], military fields [6][7][8][9], aerospace [10,11], and three-dimensional (3D) reconstruction [12][13][14]. In terms of 3D modeling, high-precision and high-density point cloud data are provided by LiDAR to accurately restore the surface model of an object that could be a trunk [15], a geological landform [16], or a building [17,18].…”

Section: Introductionmentioning

confidence: 99%

Automatic Extraction of Indoor Structural Information from Point Clouds

et al. 2021

View full text Add to dashboard Cite

We propose an innovative method with which to extract building interior structure information automatically, including ceiling, floor, and wall. Our approach outperforms previous methods in the following respects. First, we propose an approach based on principal component analysis (PCA) to find the ground plane, which is regarded as the new Cartesian plane. Second, to reduce the complexity of data processing, the data are projected into two dimensions and transformed into a binary image via the operation of an improved radius outlier removal (ROR) filter. Third, a traditional thinning algorithm is adopted to extract the image skeleton. Then, we propose a method for calculating slope through the nearest neighbor point. Moreover, the line is represented with the slopes to obtain information pertaining to the interior planes. Finally, the outline of the line is restored to a three-dimensional structure. The proposed method is evaluated in multiple scenarios, and the results show that the method is accurate (the maximum error of 0.03 m was in three scenarios) in indoor environments.

show abstract

Section: Introductionmentioning

confidence: 99%

Automatic Extraction of Indoor Structural Information from Point Clouds

et al. 2021

View full text Add to dashboard Cite

show abstract

LIDAR, Point Clouds, and Their Archaeological Applications

White

2012

SpringerBriefs in Archaeology

View full text Add to dashboard Cite

The Application of Inverse Filters to 3D Microscanning of LADAR Imagery

Armstrong

Richmond

2006 IEEE Aerospace Conference

View full text Add to dashboard Cite

Microscanning is an effective technique for re-of the scene. One particular system that collects 3-D images ducing aliasing and increasing resolution in 2D images pro-is a FLASH LADAR imager [1], [2], [3], [4]. One drawback duced by non-coherent imaging systems. Both the aliasing of this readout technology is that it has not been miniaturized reduction and resolution enhancement are accomplished by to the same degree other image acquisition devices have, such increasing the effective spatial sampling interval through subas traditional silicon CCD (Charge Coupled Device) arrays. pixel movements of the field of view on the detector array.As a consequence ofthis the pixel pitches in FLASH LADAR In this paper the authors examine (using both simulated and imaging arrays are much larger than other imaging systems. real data) the application of microscanning on 3D coherent Large pixel pitches make it difficult to sample the scene at the imagery (with application to 2D coherent imagery). The ap-diffraction limit of the imaging system. This undersampling plication of Inverse filtering techniques are also examined to of the image produces a loss of spatial resolution. resolve difficulties associated with blurring by the detector and optical systems. The effects of blurring by the detec-Microscanning has been proposed as a method for attaintor and optical system decrease image resolution when miing diffraction-limited spatial resolution from imaging syscroscanning is attempted at sub-pixel movements of less than tems whose spatial sampling is inadequate to achieve the half the detector width. A discrete filter is designed using diffraction-limit [5], [6]. Application ofmicro-scanning techthe MTF of the imaging system. This filter is then applied niques to 3-D LADAR imaging systems imparts technical to images collected with a 128x128x20 FLASH 3D LADAR challenges not encountered in the 2-D micro-scanning probsystem. The authors also investigate the difficulties that arise lem. Chief among these problems is the fact that each 3-D when the MTF of the system is not well characterized and image cube will phase with the target differently than others when image registration errors and a low signal to noise ratio due to the fact that the time the FLASH LADAR imager beare present in the system. gins recording data depending on when the returning pulse exceeds some predetermined threshold. This means that the

show abstract

FLASH lidar data collections in terrestrial and ocean environments

Cited by 6 publications

References 7 publications

Automatic Extraction of Indoor Structural Information from Point Clouds

Automatic Extraction of Indoor Structural Information from Point Clouds

LIDAR, Point Clouds, and Their Archaeological Applications

The Application of Inverse Filters to 3D Microscanning of LADAR Imagery

Contact Info

Product

Resources

About