多源遥感图像融合平台的设计与实现

周宇,张黎宁,吴丽梅

南京林业大学学报(自然科学版) ›› 2006, Vol. 30 ›› Issue (04) : 85-88.

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南京林业大学学报(自然科学版) ›› 2006, Vol. 30 ›› Issue (04) : 85-88. DOI: 10.3969/j.jssn.1000-2006.2006.04.020
研究论文

多源遥感图像融合平台的设计与实现

  • 周宇,张黎宁,吴丽梅
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Design and Implementation of Multi-source Remote Sensing Image Fusion Platform

  • ZHOU Yu, ZHANG Li-ning, WU Li-mei
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摘要

<正>在14年生的3种林分密度内,采用定期、定时、定点多样点收集器法。研究。了林分凋落物及养分归还的年变化特征。结果表明:随着林分密度的增加,林分的年凋落物量为2745.821~4911.179kg,/(hm2?a);凋落物中养分的年归还量分别为:氮15.558~27.374kg/(hm2?a)、磷1.437~2.900kgl/(hm2?a)、钾12.393~25.365kg/(hm2?a)、钙10.850~22.056kg/(hm2?a)、镁2.487~3.278kg,/(hm2?a)。凋落物及养分归还的季节动态变化趋势均为秋季最多,冬季以之夏季、春季最低,除镁外。各季节凋落物及养分归还量均随林分密度的增加而增加。

Abstract

Data fusion is an effective tool to process multi-source remote sensing images. The data fusion framework and configuration comprising of pixels-level, feature-level and decision- level fusions in detail, and their relationships were introduced. The design and implementation methods of data fusion platform were analyzed, and DS evidence theory based and fussy Kolaonen neural network based cluster algorithm as a modi~ied testing method were selected. The result shows that the cluster accuracy and speed of fuzzy Kohonen neural network cluster algorithm is better than that of traditional algorithms.

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周宇,张黎宁,吴丽梅. 多源遥感图像融合平台的设计与实现[J]. 南京林业大学学报(自然科学版). 2006, 30(04): 85-88 https://doi.org/10.3969/j.jssn.1000-2006.2006.04.020
ZHOU Yu, ZHANG Li-ning, WU Li-mei. Design and Implementation of Multi-source Remote Sensing Image Fusion Platform[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2006, 30(04): 85-88 https://doi.org/10.3969/j.jssn.1000-2006.2006.04.020
中图分类号: TP751   

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