MULTI-RESOLUTION ANALYSIS ON LIDAR DATA FOR BUILDING EXTRACTION | ||||
| The International Conference on Civil and Architecture Engineering | ||||
| Article 24, Volume 11, 11PthP International Conference on Civil and Architecture Engineering, April 2016, Page 1-14 PDF (801.33 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iccae.2016.43458 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Hassan Elsaid Elhifnawy | ||||
| Civil Engineering Department, Military Technical College, Cairo, Egypt. | ||||
| Abstract | ||||
| ABSTRACT: Airborne LIDAR has become commercially used for many environmental, engineering and civil applications, and can provide accurate data for topographic surfaces and non-terrain objects. Feature extraction is one of the important applications in the field of photogrammetry. This application is used for many civil and military applications - such as photo-interpretation, vegetation, forest monitoring, traffic and transportation development and urban planning. LIDAR Data can have much more dense point spacing than is typically derived from photogrammetry and therefore proper handling of the data is needed to optimal feature extraction. Wavelet transform techniques are widely used as powerful tools in many image processing applications such as de-noising and compression. The discrete wavelet transform is particularly suitable in de-noising and filtering problems. The properties of the wavelet transform, such as having compact support, space and frequency localization, a wide variety of base functions, denoising, thresholding, and multi-resolution analysis, are the main motivations for testing the wavelet transform as an estimation technique for feature extraction from LIDAR data. The major objective of this research is to test the efficiency of wavelet transform in analysing LIDAR data for feature extraction applications. Wavelet transform succeeded in detecting positions of sudden changes of the geometrical or physical content of the images from LIDAR data. | ||||
| Keywords | ||||
| LIDAR; MRA; Wavelet Transform | ||||
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