東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Hyperspectral remote sensing image a...

Bedagkar, Apurva V.

Linked to FindBook

Google Book

Amazon

博客來

Hyperspectral remote sensing image analysis for citrus pest monitoring.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hyperspectral remote sensing image analysis for citrus pest monitoring./
Author:	Bedagkar, Apurva V.
Description:	76 p.
Notes:	Source: Masters Abstracts International, Volume: 44-01, page: 0459.
Contained By:	Masters Abstracts International44-01.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1427304
ISBN:	9780542181153

Hyperspectral remote sensing image analysis for citrus pest monitoring.
Bedagkar, Apurva V.

Hyperspectral remote sensing image analysis for citrus pest monitoring. - 76 p.

Source: Masters Abstracts International, Volume: 44-01, page: 0459.

Thesis (M.S.)--Texas A&M University - Kingsville, 2005.

The field of remote sensing has undergone tremendous development in the past decades. One of the fastest growing applications of remote sensing is precision agriculture. Perhaps no one area of remote sensing has had as many implications for the environmental and agricultural studies as hyperspectral imaging.

ISBN: 9780542181153Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Hyperspectral remote sensing image analysis for citrus pest monitoring.
LDR:02095nmm 2200289 4500 001 1824508
005 20061201083300.5
008 130610s2005 eng d
020 $a 9780542181153
035 $a (UnM)AAI1427304
035 $a AAI1427304
040 $a UnM $c UnM
100 1 $a Bedagkar, Apurva V. $3 1913579
245 1 0 $a Hyperspectral remote sensing image analysis for citrus pest monitoring.
300 $a 76 p.
500 $a Source: Masters Abstracts International, Volume: 44-01, page: 0459.
500 $a Chair: Reza Nekovei.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2005.
520 $a The field of remote sensing has undergone tremendous development in the past decades. One of the fastest growing applications of remote sensing is precision agriculture. Perhaps no one area of remote sensing has had as many implications for the environmental and agricultural studies as hyperspectral imaging.
520 $a Hyperspectral imaging data provides high spatial and spectral resolution information which is used to estimate tree parameters that can be in turn used to detect pest stress in the trees. This information not only helps detect pest infestation, but it is also useful in extracting information about the type of infestation, and the extent of the same. This makes it possible to continuously monitor the health of trees and maximize profits, by maintaining good quality and high nutritional value. The choice of image analysis methods is critical for hyperspectral image analysis, because the method should be capable of taking proper advantage of the abundance information contained in the image. In this thesis, simultaneous individual tree crown delineation and treetop detection was chosen because the results obtained are suitable for further analysis in extraction of tree parameters for pest-monitoring.
590 $a School code: 1187.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Agriculture, Agronomy. $3 1018679
690 $a 0544
690 $a 0285
710 2 0 $a Texas A&M University - Kingsville. $3 1022707
773 0 $t Masters Abstracts International $g 44-01.
790 1 0 $a Nekovei, Reza, $e advisor
790 $a 1187
791 $a M.S.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1427304