scholarly journals Automatic extraction of roads from aerial images based on scale space and snakes

2000 ◽  
Vol 12 (1) ◽  
pp. 23-31 ◽  
Author(s):  
I. Laptev ◽  
H. Mayer ◽  
T. Lindeberg ◽  
W. Eckstein ◽  
C. Steger ◽  
...  
Keyword(s):  
Scale Space ◽  
Aerial Images ◽  
Automatic Extraction

RESEARCH ON AUTOMATIC EXTRACTION OF DEFOCUS IMAGES IN UAV AERIAL IMAGES

2019 ◽  
Vol 75 (2) ◽  
pp. I_106-I_113
Author(s):  
Etsuji KITAGAWA ◽  
Ryo KATO ◽  
Satoshi ABIKO ◽  
Takumi TSUMURA ◽  
Yusuke NAKATANI
Keyword(s):  
Aerial Images ◽  
Automatic Extraction

Segmenting multisensor aerial images in class–scale space

2001 ◽  
Vol 34 (9) ◽  
pp. 1825-1839 ◽  
Author(s):  
Brian Lofy ◽  
Jack Sklansky
Keyword(s):  
Scale Space ◽  
Aerial Images

scholarly journals A NEW APPROACH FOR URBAN ROADS DETECTION USING LASER DATA AND AERIAL DIGITAL IMAGES

2016 ◽  
Vol 10 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Francisco Assis Da Silva ◽  
Anderson Akio Gohara ◽  
Mário Augusto Pazoti ◽  
Danillo Roberto Pereira ◽  
Almir Olivette Artero ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Digital Image ◽  
Aerial Images ◽  
Automatic Extraction ◽  
New Approach ◽  
Additional Information ◽  
Automatic Feature Extraction ◽  
Laser Data ◽  
Sensitivity Rate ◽  
Road Segments

The automatic feature extraction from digital aerial images is not a trivial task mainly due to occlusion problems, shadows and different viewpoints. To obtain an improved feature extraction we used laser data, which have additional information such as height and material type of the surface. In this paper we performed the combination of digital image and laser data in order to improve the results of automatic extraction of urban roads. Initially, the urban roads were detected from the response of laser information; in the sequence we applied two different approaches to connect the disconnected road segments. The results were very promising, with sensitivity rate of 92%.

scholarly journals FPGA IMPLEMENTATION OF ROAD NETWORK EXTRACTION USING MORPHOLOGICAL OPERATOR

2016 ◽  
Vol 35 (2) ◽  
pp. 93 ◽  
Author(s):  
Sujatha Chinnathevar ◽  
Selvathi Dharmar
Keyword(s):  
Road Network ◽  
Hardware Implementation ◽  
Ground Truth ◽  
Aerial Images ◽  
Automatic Extraction ◽  
Average Value ◽  
Road Map ◽  
Road Network Extraction ◽  
Morphological Operator

In the remote sensing analysis, automatic extraction of road network from satellite or aerial images is the most needed approach for efficient road database creation, refinement, and updating. Mathematical morphology is a tool for extracting the features of an image that are useful in the representation and description of region shape. Morphological operator plays a significant role in the extraction of road network from satellite images. Most of the image processing algorithms need to handle large amounts of data, high repeatability, and general software is relatively slow to implement, so the system cannot achieve real-time requirements. In this paper, field programmable gate array (FPGA) architecture designed for automatic extraction of road centerline using morphological operator is proposed. Based on simulation and implementation, results are discussed in terms of register transfer level (RTL) design, FPGA editor and resource estimation. For synthesis and implementation of the above architecture, Spartan 3 XC3S400TQ144-4 device is used. The hardware implementation results are compared with software implementation results. The performance of proposed method is evaluated by comparing the results with ground truth road map as reference data and performance measures such as completeness, correctness and quality are calculated. In the software imple-mentation, the average value of completeness, correctness, and quality of various images are 90%, 96%, and 87% respectively. In the hardware implementation, the average value of completeness, correctness, and quality of various images are 87%, 94%, and 85% respectively. These measures prove that the proposed work yields road network very closer to reference road map.

Automatic extraction of main roads using aerial images

2010 ◽  
Vol 20 (2) ◽  
pp. 225-233 ◽  
Author(s):  
C. R. Silva ◽  
J. A. S. Centeno
Keyword(s):  
Aerial Images ◽  
Automatic Extraction

Automatic Extraction of Power Lines From Aerial Images

2007 ◽  
Vol 4 (3) ◽  
pp. 387-391 ◽  
Author(s):  
Guangjian Yan ◽  
Chaoyang Li ◽  
Guoqing Zhou ◽  
Wuming Zhang ◽  
Xiaowen Li
Keyword(s):  
Aerial Images ◽  
Power Lines ◽  
Automatic Extraction
Sign in / Sign up

Export Citation Format

Share Document