A graph signal filtering-based approach for detection of differentedge types on airborne lidar data,

Date

2017-09-14

Author

Bayram, Eda
Vural, Elif
Alatan, Abdullah Aydın

Metadata

Show full item record

Item Usage Stats

179
views

0
downloads

Airborne Laser Scanning is a well-known remote sensing technology, which provides a dense and highly accurate, yet unorganized point cloud of earth surface. During the last decade, extracting information from the data generated by airborne LiDAR systems has been addressed by many studies in geo-spatial analysis and urban monitoring applications. However, the processing of LiDAR point clouds is challenging due to their irregular structure and 3D geometry. In this study, we propose a novel framework for the detection of the boundaries of an object or scene captured by LiDAR. Our approach is motivated by edge detection techniques in vision research and it is established on graph signal filtering which is an exciting and promising field of signal processing for irregular data types. Due to the convenient applicability of graph signal processing tools on unstructured point clouds, we achieve the detection of the edge points directly on 3D data by using a graph representation that is constructed exclusively to answer the requirements of the application. Moreover, considering the elevation data as the (graph) signal, we leverage aerial characteristic of the airborne LiDAR data. The proposed method can be employed both for discovering the jump edges on a segmentation problem and for exploring the crease edges on a LiDAR object on a reconstruction/modeling problem, by only adjusting the filter characteristics.

URI

https://hdl.handle.net/11511/81426
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10429/2279146/A-graph-signal-filtering-based-approach-for-detection-of-different/10.1117/12.2279146.short?SSO=1

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

A Graph Signal Filtering Based Approach for Detection of Different Edge Typeson Airborne LiDAR Data Bayram, Eda; Vural, Elif; Alatan, Abdullah Aydın (2017-09-12) Airborne Laser Scanning is a well-known remote sensing technology, which provides a dense and highly accurate, yet unorganized point cloud of earth surface. During the last decade, extracting information from the data generated by airborne LiDAR systems has been addressed by many studies in geo-spatial analysis and urban monitoring applications. However, the processing of LiDAR point clouds is challenging due to their irregular structure and 3D geometry. In this study, we propose a novel framework for the d...
Spectral graph based approach for analysis of 3D lidar point clouds Bayram, Eda; Alatan, Abdullah Aydın; Vural, Elif; Department of Electrical and Electronics Engineering (2017) Airborne Laser Scanning is a well-known remote sensing technology, which provides quite dense and highly accurate, yet unorganized, point cloud descriptions of the earth surface. However, processing of such a 3D point cloud is quite challenging due to its irregular structure and 3D geometry. In this thesis,two novel approaches for the analysis of unorganized 3D point cloud data are proposed, speciﬁcally the ones that are generated by the airborne mounted LIDAR sensor. These methods rely on the spectral grap...
A multimodal approach for individual tracking of people and their belongings Beyan, Çiğdem; Temizel, Alptekin (2015-04-01) In this study, a fully automatic surveillance system for indoor environments which is capable of tracking multiple objects using both visible and thermal band images is proposed. These two modalities are fused to track people and the objects they carry separately using their heat signatures and the owners of the belongings are determined. Fusion of complementary information from different modalities (for example, thermal images are not affected by shadows and there is no thermal reflection or halo effect in...
A Cloud Removal Algorithm to Generate Cloud and Cloud Shadow Free Images Using Information Cloning Kalkan, Kaan; Maktav, M. Derya (Springer Science and Business Media LLC, 2018-08-01) One of the main problems of optical remote sensing is clouds and cloud shadows caused by specific atmospheric conditions during data acquisition. These features limit the usage of acquired images and increase the difficulty in data analysis, such as normalized difference vegetation index values, misclassification, and atmospheric correction. Accurate detection and reliable cloning of cloud and cloud shadow features in satellite images are very useful processes for optical remote sensing applications. In thi...
A Computationally Efficient Appearance-Based Algorithm for Geospatial Object Detection Arslan, Duygu; Alatan, Abdullah Aydın (2012-04-27) A computationally efficient appearance-based algorithm for geospatial object detection is presented and evaluated specifically for aircraft detection from satellite imagery. An aircraft operator exploiting the edge information via gray level differences between the aircraft and its background is constructed with Haar-like polygon regions by using the shape information of the aircraft as an invariant. Fast evaluation of the aircraft operator is achieved by means of integral image. Rotated integral images are...

Citation Formats

E. Bayram, E. Vural, and A. A. Alatan, “A graph signal filtering-based approach for detection of differentedge types on airborne lidar data,” 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81426.