1999
DOI: 10.21236/ada370555
|View full text |Cite
|
Sign up to set email alerts
|

Automated Cartographic Feature Attribution Using Panchromatic and Hyperspectral Imagery.

Abstract: Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathenng and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Infor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2001
2001
2016
2016

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 5 publications
0
2
0
Order By: Relevance
“…However, the most used, and universal accepted is the ISO and ASME (American society of mechanical engineers) standards. According to TWI (the welding institute) [7] the certificates obtained under AWS (American welder society) and ISO criteria are usable in most countries. In addition, there exist special standard regarding welding on high-pressure components, or equipment for use in nuclear reactors.…”
Section: B Welding Certificatesmentioning
confidence: 99%
“…However, the most used, and universal accepted is the ISO and ASME (American society of mechanical engineers) standards. According to TWI (the welding institute) [7] the certificates obtained under AWS (American welder society) and ISO criteria are usable in most countries. In addition, there exist special standard regarding welding on high-pressure components, or equipment for use in nuclear reactors.…”
Section: B Welding Certificatesmentioning
confidence: 99%
“…There has also been work on using data with other attributes, such as color [15], digital surface models derived from intensity images or range sensors directly ( [16], [17], [18], [19], [20], [21], [22]), or multispectral data, which can significantly simplify the task of building detection and description ( [23], [24]). Usually, digital surface models are derived from stereo pairs taken at nearly the same time; we assume that such models are not available for our conditions.…”
Section: Introduction and Overviewmentioning
confidence: 99%