Detection of Buildings from Monocular Images

Lin, Chung-An; Huertas, A.; Nevatia, Ramakant

doi:10.1007/978-3-0348-9242-1_13

Cited by 22 publications

(4 citation statements)

References 7 publications

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“…They developed a methodology based on the detection of lines and corners from which they make the hypothesis of possible buildings and they use shadows to verify them. Lin, Huertas and Nevatia [6] use geometrical and projection parameters and solar elevation angle to extract structures shadows of the image. Irwin and McKeown [1] use shadows to detect the existence of buildings and criteria such as the width and consistency of the shadows for the verification.…”

Section: Introductionmentioning

confidence: 99%

Detection of buildings through automatic extraction of shadows in Ikonos imagery

Gonzalaz

Docampo

Guerrero

2004

Image and Signal Processing for Remote Sensing IX

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The extraction of man-made objects from remotely sensed imagery is a common application in remote sensing. Building detection is useful in territorial planning, mapping and Geographic Information Systems. Nevertheless these features are difficult to recognise in satellite data because of their variations in structure and size and especially because of the spatial resolution of the imagery. IRS panchromatic data, with 5,8 meters pixel size, was the higher spatial resolution sensor in civil applications until the Ikonos imageries distribution. Several approaches have been proposed for building detection in aerial images. Buildings cast a shadow in some direction and that is why many authors have employed shadows to detect constructions. Other authors use shadows to verify them, once they have been detected by some other techniques. This work focus on shadows detection probabilistic methods: it is found that digital supervised classification of the first principal component obtained from the application of a principal component analysis on the four channels of Ikonos allows identifying shadows and distinguishing them from other covers in the image. It is a fast and effective method and it can be implemented through tools available in commercial remote sensing software. This shadow detection system will provide cost -effectiveness in the inventorying of buildings, especially in areas of dispersed settlement, given that it significantly reduces fieldwork., and even can function as a support and test of the methods of automatic extraction of buildings from satellite images developed up to now.

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Section: Introductionmentioning

confidence: 99%

Detection of buildings through automatic extraction of shadows in Ikonos imagery

Gonzalaz

Docampo

Guerrero

2004

Image and Signal Processing for Remote Sensing IX

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“…Stereophotogrammetry is the basis of most methods presented in the literature, although some results can be obtained by single image analysis (shadow analysis [24,32]) or fusion of range data and aerial images [19]. Digital stereophotogrammetry consists of six successive steps [3]: (1) image acquisition and digitization, (2) geometric modeling, (3) image primitive detection, (4) image primitive matching, (5) 3-D reconstruction, and (6) final 3-D surface reconstruction and modeling.…”

Section: Introductionmentioning

confidence: 99%

Building Detection and Reconstruction from Mid- and High-Resolution Aerial Imagery

Paparoditis¹,

Cord²,

Jordan³

et al. 1998

Computer Vision and Image Understanding

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“…Fua and Hanson (1988, 1991) exploited photometric and geometric effectiveness measures to obtain and fit model candidates to image data. Lin et al (1995) and Lin and Nevatia (1996) used wall and shadow evidences to detect buildings from single images. The same procedure was followed by Nevatia et al (1997), except they allowed interaction and handled oblique view images.…”

Section: Introductionmentioning

confidence: 99%

A Model‐Based Approach to Semi‐Automated Reconstruction of Buildings from Aerial Images

Khoshelham

2004

The Photogrammetric Record

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Automated reconstruction of building objects from aerial images is a complex problem due to the diversity of buildings as well as noise and low contrast of images, which are the results of distant photography, atmospheric effects and poor illumination. In this paper, a semi-automated approach to the reconstruction of parametric building models from aerial images is presented, which works with line segments extracted from the image. The model is selected interactively from a library of parametric models. A perceptual grouping technique is used to select the most significant image lines in terms of relations such as proximity and parallelism. Model lines are searched for the same relations as in the grouped image lines, and the corresponding lines undergo a matching procedure, which determines whether or not a match can be found between the given model and image lines. An experiment with aerial images of flat-roof and gable-roof buildings is shown and its results indicate the robustness and efficiency of the proposed approach.

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Detection of Buildings from Monocular Images

Cited by 22 publications

References 7 publications

Detection of buildings through automatic extraction of shadows in Ikonos imagery

Detection of buildings through automatic extraction of shadows in Ikonos imagery

Building Detection and Reconstruction from Mid- and High-Resolution Aerial Imagery

A Model‐Based Approach to Semi‐Automated Reconstruction of Buildings from Aerial Images

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