当前位置: 首页 > 文章 > 森林可燃物的遥感分类研究进展 安徽农业科学 2012,40 (26) 12961-12962+13054
Position: Home > Articles > Advance in the Remote Sensing Classification of Forest Fuel Journal of Anhui Agricultural Sciences 2012,40 (26) 12961-12962+13054

森林可燃物的遥感分类研究进展

作  者:
吴德慧;江洪;徐建辉;周国模
单  位:
浙江农林大学;南京大学国际地球系统科学研究所
关键词:
森林可燃物;类型分类;遥感
摘  要:
阐述了森林可燃物的分类类型,指出遥感图像是通过亮度值或像素值的高低差异及空间变化表示不同地物差异的,提出了遥感分类常用方法有非监督分类与监督分类法,基于知识的决策树分类法,BP神经网络分类法。文章同时对国内外森林可燃物遥感分类的研究现状做了综述,并展望了森林可燃物遥感分类的发展趋势。
译  名:
Advance in the Remote Sensing Classification of Forest Fuel
作  者:
WU De-hui et al(State Key Laboratory of Tropical Forest Culture/ Zhejiang Forest Ecosystem Carbon Cycling and Carbon Emissions Laboratory,Zhejiang A & F University,Hangzhou,Zhejiang 311300)
关键词:
Forest fuel;Type classification;Remote sensing
摘  要:
The categories of forest fuels were introduced,and then it was pointed out that the remote sensing expresses the difference of objects through their different brightness and pixel values as well as the spatial variation,the common RS classification methods include unsupervised classification,supervised classification,knowledge-based decision tree classification and BP neutral network classification.Meanwhile,the present studies on the RS classification of forest fuel both at home and abroad were reviewed,and its future develop trend was finally forecasted.

相似文章

计量
文章访问数: 27
HTML全文浏览量: 0
PDF下载量: 1

所属期刊

推荐期刊