Results 211 to 220 of about 245,559 (259)
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Building extraction from LIDAR data
IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482), 2002A strategy for building reconstruction relying on LIDAR data only is presented. Roofs are modeled as plane surfaces, connected along ridges and bordered by the eaves lines. Edge pixels and plane surfaces are detected and labelled as roof slopes based on gradient orientation and plane fitting by RANSAC; a similar procedure applies to eaves lines.
NARDINOCCHI C. +2 more
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Building extraction with morphology
2009 4th International Conference on Recent Advances in Space Technologies, 2009Building extraction is one of the biggest problems of the photogrammetry. Automatic building extraction from aerial imagery in an urban environment is the main focus of this study. The strategy of our approach is to reduce the complexity of the image with the mathematical morphology. True color aerial images have been used as the information source.
Bayram, Buelent, ACAR, Uğur
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Template-Based Hierarchical Building Extraction
IEEE Geoscience and Remote Sensing Letters, 2014Automatic building extraction is an important field of research in remote sensing. This letter introduces a new object-based building extraction approach. So far, many object-based algorithms for building extraction have been proposed. However, these algorithms mainly operate in two phases: object construction and building extraction.
Sellaouti, A. +3 more
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Polygonal Building Extraction by Frame Field Learning
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021While state of the art image segmentation models typically output segmentations in raster format, applications in geographic information systems often require vector polygons. To help bridge the gap between deep network output and the format used in downstream tasks, we add a frame field output to a deep segmentation model for extracting buildings from
Nicolas Girard +3 more
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A grammatical framework for building rooftop extraction
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Roof detection has been studied for several decades, one of the big challenge is its structure and appearance diversity. In this paper, we present a grammatical framework to account for these diversities and a multiple way compositional algorithm to extract rooftops from aerial images.
Qiongchen Wang, Zhiguo Jiang 0001
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Use of shadows for extracting buildings in aerial images
Computer Vision, Graphics, and Image Processing, 1989Summary: Two new methods integrating region growing and edge detection are presented to extract buildings in aerial images. In the domain we are considering, building shadows play an important role in enhancing the detection accuracy and reliability.
Yuh-Tay Liow, Theodosios Pavlidis
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Privileged Knowledge Distillation for SAR Building Extraction
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021Automatic building footprint extraction from SAR imagery is one of the critical tasks in the remote sensing community. CNN has been recently explored in building extraction tasks and achieved improved performance. However, due to the scarcity of training data, it suffers from overfitting problem. This paper presents a novel knowledge distillation based
Eungbean Lee, Somi Jeong, Kwanghoon Sohn
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Building precise classifiers with automatic rule extraction
Proceedings of ICNN'95 - International Conference on Neural Networks, 2002An algorithm is presented to train a special kind of a local basis function classifier. The so-called "rectangular basis function network" (RecBFN) consists of hidden units, each covering a rectangular area in the input space, using a trapezoidal activation function.
Huber, Klaus-Peter, Berthold, Michael R.
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Algorithm research of building materials emissivity extracting
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010We all know that several methods were proposed to retrieve temperature and emissivity, among which the TES and ISSTES are better than the other methods. We use 40 man-made materials spectra from ASTER spectral library, and assess the stability and accuracy of these methods to MMD, MMR, e max input, and band number, respectively.
Hang Yang +4 more
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