High resolution SAR building detection with scene context priming

Cao, Ye; Su, Chen; Liang, Jingqiu

doi:10.1109/icosp.2012.6491927

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…[64] reconstructed the building three-dimensionally using mathematical operators. [6] used texture information to identify buildings by classifying terraSAR-X images in high resolution. [65] used a basin conversion indicator controlled by combining features and texture information to identify the building from the radar image with a combined aperture.…”

Section: Literature Reviewmentioning

confidence: 99%

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

Harouni

Forghani

2022

WJGG

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Today, the presentation of a three-dimensional model of real-world features is very important and widely used and has attracted the attention of researchers in various fields, including surveying and spatial information systems, and those interested in the three-dimensional reconstruction of buildings. The building is the key part of the information in a three-dimensional city model, so extracting and modeling buildings from remote sensing data is an important step in building a digital model of a city. LiDAR technology due to its ability to map in all three modes of one-dimensional, two-dimensional, and three-dimensional is a suitable solution to provide hyperspectral and comprehensive images of the building in an urban environment. In this review article, a comprehensive review of the methods used in identifying buildings from the past to the present and appropriate solutions for the future is discussed.

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Section: Literature Reviewmentioning

confidence: 99%

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

Harouni

Forghani

2022

WJGG

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“…Bright line and shadow features are used with a maximum likelihood inversion of a three-dimensional building model to perform building extraction [1]. Another technique uses only bright features and morphological operators to detect a building [4]. On the opposite side, buildings are found by exploiting the shadows [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Building detection in SAR imagery

Steinbach¹,

Koch²,

Moya³

et al. 2015

SPIE Proceedings

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Current techniques for building detection in Synthetic Aperture Radar (SAR) imagery can be computationally expensive and/or enforce stringent requirements for data acquisition. I present two techniques that are effective and efficient at determining an approximate building location. This approximate location can be used to extract a portion of the SAR image to then perform a more robust detection. The proposed techniques assume that for the desired image,

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High-Resolution PolSAR Image Interpretation Based on Human Image Cognition Mechanism

Zou

Zhang

et al. 2018

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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High resolution SAR building detection with scene context priming

Cited by 4 publications

References 12 publications

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

A Review of Application of LiDAR and Geospatial Modeling for Detection of Buildings Using Artificial Intelligence Approaches

Building detection in SAR imagery

High-Resolution PolSAR Image Interpretation Based on Human Image Cognition Mechanism

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