DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
Learn More
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/79056| 標題: | A Study of the Accuracy Improvement for Image Classification Using Texture Factors 利用紋理因子改善影像分類準確度之研究 |
作者: | Cheng-Hsiang Chen 陳正湘 Chao-Yuan Lin Chin-Wei Chuan 林昭遠 莊智瑋 |
關鍵字: | Image gray level;紋理因子;GLCM;Moving window;Vegetation index;Texture factors;Image classification;影像分類;影像灰階值;灰階共生矩陣;移動視窗;植生指標 | Project: | 水土保持學報, Volume 41, Issue 2, Page(s) 153-168. Journal of Soil and Water Conservation, Volume 41, Issue 2, Page(s) 153-168. |
URI: | http://hdl.handle.net/11455/79056 | ISSN: | 1009-2242 |
| Appears in Collections: | 第41卷 第02期 水土保持學系 |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| 41-2-4.pdf | 2.82 MB | Adobe PDF | This file is only available in the university internal network |
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.