Using Remote Sensing and Knowledge-Based System to Study Forest Type Classification
碩士 === 國立屏東科技大學 === 森林系所 === 98 === In last decades, remote sensing images are improved by their spectral, spatial, radiometric abilities, and temporal resolutions. Using satellite images to classify the land cover and land use is the trend and has been widely used in resource surveys and environmen...
Main Authors: | Chen, Cheng-Wen, 陳建文 |
---|---|
Other Authors: | Chen, Chaur-Tzuhn |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/79077868492079784213 |
Similar Items
-
Applying Knowledge-Base Classification to Aid Interpretation of Slop Failures by Remote Sensing
by: Chen Hsin-Ta, et al.
Published: (2005) -
Landuse/Landcover Change Detection Using Two-stage Remote Sensing Image Classification
by: Chien-Wen Chung, et al.
Published: (2006) -
Classification of remotely sensed imagery using a knowledge-based approach (CORSIKA)
by: Momani, Bilal Al
Published: (2008) -
Tree Species Classification of Forest Stands Using Multisource Remote Sensing Data
by: Haoming Wan, et al.
Published: (2021-01-01) -
Statistical and computational methods of forest attribute estimation and classification based on remotely sensed data
by: Moser, Paolo, 1985-, et al.
Published: (2018)