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      AVALIAÇÃO AUTOMÁTICA DA ACURÁCIA RELATIVA DE DADOS LIDAR AEROTRANSPORTADO Translated title: Automatic assessment of relative accuracy of airborne LiDAR

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          Abstract

          Neste trabalho é proposto um método automático para o controle da acurácia relativa de dados LiDAR (Light Detection and Ranging) aerotransportados usando superfícies planas, linhas retas e pontos. Primeiramente, é realizada uma filtragem dos dados LiDAR, através do filtro morfológico progressivo e o filtro RANSAC (Random Sample Consensus). Em seguida, as superfícies planas são extraídas automaticamente sobre os telhados encontrados nas faixas adjacentes através do algoritmos crescimento de região. Posteriormente, as correspondências entre as feições extraídas em cada faixa são estabelecidas e os parâmetros de transformação são estimados através de uma variante do método ICP. Finalmente, para avaliar simultaneamente a acurácia plani-altimétrica dos dados LiDAR são empregadas linhas retas extraídas a partir da interseção de planos adjacentes. Para avaliar o método proposto foi conduzido um experimento com dados LiDAR obtidos numa região urbanizada recoberta por 2 faixas com densidade de 1 ponto/m². A avaliação da acurácia relativa desses dados é realizada automaticamente e os resultados obtidos com o método proposto mostraram que a média das distâncias ponto-a-plano é de -0,0019 cm e a raiz quadrada do erro médio quadrático é de 6,04 cm.

          Translated abstract

          In this paper an automatic method for assessment of relative accuracy of airborne LiDAR (Light Detection and Ranging) data using surface planes, straight lines and points is presented. Firstly, the LiDAR data is filtered using the progressive morphological filter and RANSAC (Random Sample Consensus) filter. Then, the roof planes are automatically extracted on both strips by region growing algorithm. After, the feature correspondences are established and the transformation parameters are estimated using a variant of ICP algorithm. Finally, in order to evaluate simultaneously planimetric and altimetric relative accuracy, straight lines obtained by intersection of two adjacent surface planes are used. An experiment was conducted to evaluate the proposed method using two overlapping LiDAR strips, whose density is 1 point / m². The assessment of relative accuracy of these data was performed automatically and the results obtained by proposed method, showing values equal -0,0019 cm to mean of the point-to-plane distance and a rmse around 6,04 cm

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          A progressive morphological filter for removing nonground measurements from airborne LIDAR data

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            Rigorous approach to bore-sight self-calibration in airborne laser scanning

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              Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features

              AHN-2 is the second part of the Actueel Hoogtebestand Nederland project, which concerns the acquisition of high-resolution altimetry data over the entire Netherlands using airborne laser scanning. The accuracy assessment of laser altimetry data usually relies on comparing corresponding tie elements, often points or lines, in the overlapping strips. This paper proposes a new approach to strip adjustment and accuracy assessment of AHN-2 data by using planar features. In the proposed approach a transformation is estimated between two overlapping strips by minimizing the distances between points in one strip and their corresponding planes in the other. The planes and the corresponding points are extracted in an automated segmentation process. The point-to-plane distances are used as observables in an estimation model, whereby the parameters of a transformation between the two strips and their associated quality measures are estimated. We demonstrate the performance of the method for the accuracy assessment of the AHN-2 dataset over Zeeland province of The Netherlands. The results show vertical offsets of up to 4 cm between the overlapping strips, and horizontal offsets ranging from 2 cm to 34 cm.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                bcg
                Boletim de Ciências Geodésicas
                Bol. Ciênc. Geod.
                Universidade Federal do Paraná (Curitiba )
                1982-2170
                December 2015
                : 21
                : 4
                : 730-749
                Affiliations
                [1 ] Instituto Brasileiro de Informação em Ciência e Tecnologia Brazil
                [2 ] Universidade Federal do Paraná Brazil
                Article
                S1982-21702015000400730
                10.1590/S1982-21702015000400043
                004484d9-4805-440e-8ee6-ffd590906e35

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=1982-2170&lng=en
                Categories
                GEOCHEMISTRY & GEOPHYSICS
                REMOTE SENSING

                Remote sensing,Geophysics
                LiDAR,acurácia relativa,superfícies planas,linhas retas,ICP,relative accuracy,Surface planes,Straight lines

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