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Active and attentive laser detection...

Utah State University.

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Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition./
作者:	Mamanakis, Michael T.
面頁冊數:	171 p.
附註:	Adviser: R. Rees Fullmer.
Contained By:	Masters Abstracts International46-05.
標題:	Artificial Intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1454884
ISBN:	9780549536499

Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition.
Mamanakis, Michael T.

Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition. - 171 p.

Adviser: R. Rees Fullmer.

Thesis (M.S.)--Utah State University, 2007.

This thesis examines the dynamic implications of active and attentive scanning for LADAR based automatic target/object recognition and shows that a dynamically constrained, scanner based, ATR system's ability to identify objects in real-time is improved through attentive scanning. By actively and attentively scanning only salient regions of an image at the density required for recognition, the amount of time it takes to find a target object in a random scene is reduced.

ISBN: 9780549536499Subjects--Topical Terms:

769149
Artificial Intelligence.

Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition.
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100 1 $a Mamanakis, Michael T. $3 1035568
245 1 0 $a Active and attentive laser detection and ranging (LADAR) scanning for automatic target recognition.
300 $a 171 p.
500 $a Adviser: R. Rees Fullmer.
500 $a Includes supplementary digital materials.
500 $a Source: Masters Abstracts International, Volume: 46-05, page: 2739.
502 $a Thesis (M.S.)--Utah State University, 2007.
520 $a This thesis examines the dynamic implications of active and attentive scanning for LADAR based automatic target/object recognition and shows that a dynamically constrained, scanner based, ATR system's ability to identify objects in real-time is improved through attentive scanning. By actively and attentively scanning only salient regions of an image at the density required for recognition, the amount of time it takes to find a target object in a random scene is reduced.
520 $a The LADAR scanner's attention is guided by identifying areas-of-interest using a visual saliency algorithm on electro-optical images of a scene to be scanned. Identified areas-of-interest are inspected in order of decreasing saliency by scanning the most salient AOI and saccading to the next most salient AOI until the object-of-interest is recognized. No ATR algorithms are used; instead, an object is considered to be recognized when a threshold density of pixels-on-target is reached.
590 $a School code: 0241.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Geotechnology. $3 1018558
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710 2 $a Utah State University. $3 960049
773 0 $t Masters Abstracts International $g 46-05.
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791 $a M.S.
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