• Nenhum resultado encontrado

LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY

N/A
N/A
Protected

Academic year: 2017

Share "LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY"

Copied!
8
0
0

Texto

Loading

Imagem

Figure 1 Mobile mapping panoramic image in equirectangular  projection
Figure 2 Panoramic projected onto an artificial ground plane  4.1.2 Feature Extraction
Table 1 Number of combined keypoints over all subsets per  detection method
Table 3 Matching results of scene 1 between aerial and  panoramic image of the 3rd and 4th iteration  The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W4, 2016
+3

Referências

Documentos relacionados

With regards to the froth imagery of copper lotation, this paper proposes that the wavelet multi-scale binary process can be adopted for extraction of the equivalent size

This paper introduces a method of landmark selection and clustering in omnidirectional images for on-line SLAM, using the SIFT algorithm for initial feature extraction and assuming

This paper presents the results of the application of the parabolic model to aerial images of headland-bay beaches in the State of Santa Catarina and along the

In this work, feature extraction methods for the TRUS prostate cancer classification problem and an innovative approach (combined features) of finding the malignant and benign

Detailed mapping of microbial, non-microbial and sedimentary structures along the western margin of Antelope Island using aerial images and field observations can be used to identify

O estudo efetuado através da revisão bibliográfica mostrou que os autores concordam que certos cuidados são capazes de evitar os acidentes e indicam que a agulha utilizada

In this work, we carried out feature extraction using modified view based approach of original and thinned images and sub images of original and thinned images for

This paper describes a human activity recognition framework based on feature extraction and feature selection techniques where a set of time, statistical and frequency domain