New Technologies for Photolog Image and Data Acquisition: HDTV Image Acquisition, Distribution and Utilization

Overturf, Bradley J.

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New Technologies for Photolog Image and Data Acquisition: HDTV Image Acquisition, Distribution and Utilization

2016-06-15
By Overturf, Bradley J.

File Language:

English

[PDF - 14.62 MB]

Details

Creators:

Overturf, Bradley J.
Corporate Creators:

Connecticut. Dept. of Transportation. Bureau of Policy and Planning
Contributors:

Connors, Michael J.
Corporate Contributors:

United States. Federal Highway Administration ; Connecticut. Dept. of Transportation. Bureau of Planning and Research
Subject/TRT Terms:
Publication/ Report Number:

CT-2236-F-16-2
Resource Type:

Tech Report
Geographical Coverage:

Connecticut ; United States
TRIS Online Accession Number:

01605574
Edition:

Final Report
Corporate Publisher:

Connecticut. Dept. of Transportation ; United States. Federal Highway Administration
NTL Classification:

NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS ; NTL-SAFETY AND SECURITY-Highway Safety
Abstract:

The goal of this research project was to improve photolog imaging technology and subsequent image-to-client delivery in response to user-requests for enhanced desktop image retrieval capabilities, such as the ability to read small roadway signs, bridge numbers and utility pole numbers along Connecticut roadways. The resulting implementation of state-of-the-art photolog imaging research, hardware and software has provided the Connecticut Department of Transportation with an all-HDTV ground-based automated image inventory of its entire roadway network. HDTV represents a 5X increase in image resolution, a significant improvement in overall image quality, which has met project goals and led to an increase in photolog use at ConnDOT.
Format:

PDF
Funding:

CT Study No. SPR-2236
Download URL:

https://rosap.ntl.bts.gov/view/dot/36980/dot_36980_DS1.pdf
File Type:

[PDF - 14.62 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:bc95eaae3fb7d9ef60e28790b085fe8b8bba45d245a22ec2050f52cc4fd8cebd

File Language:

English

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