Use of DTMs/DSMs and Orthoimages to Support Building Extraction

Baltsavias, Emmanuel P.; Mason, Scott; Stallmann, Dirk

doi:10.1007/978-3-0348-9242-1_19

Cited by 32 publications

(12 citation statements)

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“…De acordo com Baltsavias et al (1995), MDT corresponde ao modelo do terreno e MDS ao modelo da superfície dos objetos 3D existentes sobre o terreno (vegetação, edificações, etc.). …”

Section: Modelo Digital De Terreno (Mdt)unclassified

AVALIAÇÃO DA ACURÁCIA DO CÁLCULO DE VOLUME DE PILHAS DE REJEITO UTILIZANDO VANT, GNSS E LiDAR

et al. 2016

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Dentre as diversas tecnologias utilizadas para cálculo do volume de materiais na mineração, o Veículo Aéreo Não Tripulado (VANT) e o Light Detecting And Ranging (LiDAR), surgem como alternativas rápidas e precisas, em comparação com as técnicas de topografia tradicionais como estação total e Global Navigation Satellite System (GNSS). Diante destas novas tecnologias, este estudo avaliou a acurácia do cálculo de volume, realizado por meio de Modelos Digitais de Terreno (MDTs), gerados a partir das tecnologias VANT, LiDAR e GNSS, em uma pilha de rejeito da extração de calcário laminado, explorado para fabricação de lajotas in natura, comercializado com o nome de "Pedra Cariri", no município de Santana do Cariri, no Estado do Ceará. A avaliação da acurácia foi realizada com base no método de testes de hipóteses, a partir da análise de tendência e precisão, sendo os resultados classificados de acordo com o Padrão de Exatidão Cartográfica dos Produtos Cartográficos Digitais (PEC-PCD). Como resultado, o modelo gerado a partir do VANT apresentou a melhor acurácia no cálculo de volume da pilha de rejeito, objeto deste estudo, seguido pela modelagem obtida pelos levantamentos GNSS e LiDAR.

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“…De acordo com Baltsavias et al (1995), MDT corresponde ao modelo do terreno e MDS ao modelo da superfície dos objetos 3D existentes sobre o terreno (vegetação, edificações, etc.). …”

Section: Modelo Digital De Terreno (Mdt)unclassified

AVALIAÇÃO DA ACURÁCIA DO CÁLCULO DE VOLUME DE PILHAS DE REJEITO UTILIZANDO VANT, GNSS E LiDAR

et al. 2016

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“…The combined use of digital imagery and surface models finds mainly applications in automatic object extraction and 3D reconstruction from aerial data or very high resolution satellite sensors (Arefi, 2009, Baltsavias et al, 1995, Jaynes et al 1996, Paparoditis et al, 1998, Lu et al, 2002, Tao and Yasuoka, 2002, Li et al, 2008. Few works aim at using satellite imagery for DSM enhancement.…”

Section: Related Workmentioning

confidence: 99%

Refinement of Digital Surface Models Through Constrained Connectivity Partitioning of Optical Imagery

Poli

Soille

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:One of the tasks of ISFEREA action at the Joint Research Center (JRC) in Ispra, Italy, is to assess changes in land cover after natural disasters using satellite imagery. To describe the pre-event and post-event scenarios the available heterogeneous data are analysed and eventually fused in order to achieve the most accurate and reliable information. With respect to automatic 3D information extraction, the availability of accurate and detailed Digital Surface Models (DSMs) is a crucial for automatic building detection and subsequent damage estimation. This paper proposes a methodology for the geometric refinement of an arbitrary DSM using high or very high resolution satellite scenes. The main idea is to fuse the DSM and the scene through an advanced hierarchical image partitioning. The method is applied on a dataset over Catalonia, Spain, provided by ISPRS WGI/4 through the project "Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data". During this experiment a WorldView-1 quasi-nadir scene was used for the enhancement of the DSM generated by a Cartosat-1 stereopair. The original and final DSM are compared to the Lidar DSM on the same area for quality analysis. After the description of the methodology, the first results are reported and commented.

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“…Baltsavias et al have proposed using a range image edge detector or to group heights into consecutive height ranges [31]. This solution is closely related to studying DEM isolines [32].…”

Section: Related Work To Above-ground Detectionmentioning

confidence: 99%

“…The thematic analysis of above-ground has also often been limited to the selection of isolated buildings according to certain shape and size criteria, sometimes involving radiometric or spectral information [31,22]. Some attempts have been made to distinguish adjacent buildings and vegetation by using textural filters and a learning stage on radiometry [33] or by using 3-D laser data [34].…”

Section: Related Work To Above-ground Detectionmentioning

confidence: 99%

3-D Reconstruction of Urban Scenes from Aerial Stereo Imagery: A Focusing Strategy

Baillard

Maître²

1999

Computer Vision and Image Understanding

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Use of DTMs/DSMs and Orthoimages to Support Building Extraction

Cited by 32 publications

References 0 publications

AVALIAÇÃO DA ACURÁCIA DO CÁLCULO DE VOLUME DE PILHAS DE REJEITO UTILIZANDO VANT, GNSS E LiDAR

AVALIAÇÃO DA ACURÁCIA DO CÁLCULO DE VOLUME DE PILHAS DE REJEITO UTILIZANDO VANT, GNSS E LiDAR

Refinement of Digital Surface Models Through Constrained Connectivity Partitioning of Optical Imagery

3-D Reconstruction of Urban Scenes from Aerial Stereo Imagery: A Focusing Strategy

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