A Study of Hybrid Parallel Computation Model Applied to Remote Sensing Images Classification
碩士 === 國立臺北科技大學 === 電機工程系研究所 === 98 === Because the progress with lasting hardware technology of the detecting device of the satellite, so the spectrum information we can get also increase quickly. A large number of materials amount will bring sizable load punish materials, so how to reduce a large...
Main Authors: | Shiang-Ming Wang, 王向明 |
---|---|
Other Authors: | 張陽郎 |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/3g62tp |
Similar Items
-
A Novel Hybrid Model of High Performance Parallel Computing Applied to the Analysis of Feature Extraction and Classification for Remote Sensing Images
by: Jia-Bao Chang, et al.
Published: (2009) -
Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification
by: Bao-Di Liu, et al.
Published: (2018-12-01) -
The Generalized Model and Parallel Computing Methods for Pixel-level Remote Sensing Image Fusion
by: YANG Jinghui
Published: (2015-08-01) -
Parallelized Dilate Algorithm for Remote Sensing Image
by: Suli Zhang, et al.
Published: (2014-01-01) -
A Study of Applying Hyper-Rectangle Learning Model to Interpret the Classification of Remote Sensing Image
by: Wern Horn Lu, et al.
Published: (2000)