NDLI: Object-oriented QuickBird image sandy area feature information extraction and analysis in the north of Yanchi County

Content Provider	IEEE Xplore Digital Library
Author	Wei Cheng Yuqing Zhang Xiuqin Wu Fanlin Song Ziyang Zhao Tao Zhou
Copyright Year	2011
Description	Author affiliation: College of Soil and Water Conservation, Beijing Forestry University, China (Wei Cheng; Yuqing Zhang; Xiuqin Wu; Ziyang Zhao; Tao Zhou) \|\| Environmental Protection and Forestry Bureau, Yanchi, China (Fanlin Song)
Abstract	In order to rapidly and accurately extract the feature information of sandy area in the north of Yanchi County, the QuickBird high-resolution remote sensing images were selected as data source. The choice of the best segmentation scale was analysed in depth. The way of object-oriented supervised classification and object-oriented classification by rules were used into information extraction. The results show object-oriented image feature classification can quickly extract characteristic information of sandy area in the north of Yanchi County by choosing the appropriate scale image segmentation and rules which is determined by the different characteristics of extraction information.
Starting Page	1384
Ending Page	1387
File Size	812734
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5964539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Sandy area Hyperspectral sensors Segmentation scale Forestry Feature extraction Cognition Data mining ENVI QuickBird image Object-oriented
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Extracting water information from QuickBird images based on object-oriented method

Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis

Detecting Urban Vegetation Using a Object-oriented Method with QuickBird Imagery

Multi-scale object-oriented building extraction method of Tai'an city from high resolution image

A Novel Video Mining System

Urban area object-based classification by fusion of hyperspectral and LiDAR data

Experiments on feature extraction in remotely sensed hyperspectral image data

Explorations on Object-Oriented Classification for Ground Targets from High-Resolution Image

Feature extraction via spectro-temporal analysis of hyperspectral data for vegetative target detection

Object-oriented QuickBird image sandy area feature information extraction and analysis in the north of Yanchi County

Similar Documents

Extracting water information from QuickBird images based on object-oriented method

Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis

Detecting Urban Vegetation Using a Object-oriented Method with QuickBird Imagery

Multi-scale object-oriented building extraction method of Tai'an city from high resolution image

A Novel Video Mining System

Urban area object-based classification by fusion of hyperspectral and LiDAR data

Experiments on feature extraction in remotely sensed hyperspectral image data

Explorations on Object-Oriented Classification for Ground Targets from High-Resolution Image

Feature extraction via spectro-temporal analysis of hyperspectral data for vegetative target detection

Object-oriented QuickBird image sandy area feature information extraction and analysis in the north of Yanchi County