干旱区生态环境知识资源中心(Arid): 南方植被区强迫不变植被抑制技术改进与应用

Arid

	南方植被区强迫不变植被抑制技术改进与应用
其他题名	Improvement and application of forced invariance vegetation suppression in southern vegetation area
	尹展 1; 张利军 2; 段建良 1; 张沛 1
来源期刊	国土资源遥感
ISSN	1001-070X
出版年	2019
卷号	31 期号:2 页码:82-88
中文摘要	植被覆盖对岩石蚀变信息提取造成很大的干扰。强迫不变植被抑制技术在半干旱开阔地形区取得了较好的植被抑制效果,但在植被茂盛的山区效果有待验证。基于强迫不变植被抑制技术,针对南方植被区,在关键技术曲线平化步骤中采用分段平化并编程实现,较好地解决了植被抑制、裸地偏色及信息完整性之间的矛盾。分段平化后的植被信息得到较好抑制,下伏基岩信息突出,色调自然。应用该方法进行遥感蚀变信息提取,植被区遥感异常明显增强,异常与实际围岩蚀变吻合度较高,效果较好。
英文摘要	Vegetation cover causes great interference in rock alteration information extraction. Forcing invariant vegetation suppression technology has achieved good vegetation suppression effect in semi - arid and open terrain area,but the effect remains to be verified in mountainous areas where vegetation is flourishing. Based on the forcing invariant vegetation suppression technology, in the southern vegetation area, the subsection leveling and programming are implemented in the key technical curve leveling steps,which can solve the contradiction between vegetation suppression,color deviation in bare land and information integrity. The vegetation information after subsection leveling is well suppressed,and the underlying bedrock information is prominent and the tone is natural. By using this method to extract remote sensing alteration information,the vegetation area’s remote sensing anomaly is obviously enhanced,the anomaly agrees well with the actual wall rock alteration,and the effect is better.
中文关键词	强迫不变 ; 植被抑制 ; 分段平化 ; 蚀变信息提取 ; 南方植被区
英文关键词	forced invariance vegetation suppression subsection leveling alteration information extraction southern vegetation area
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6498418
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/239251
作者单位	1.有色金属矿产地质调查中心, 北京 100012, 中国; 2.湖南省有色地质勘查研究院, 长沙, 湖南 410083, 中国
推荐引用方式 GB/T 7714	尹展,张利军,段建良,等. 南方植被区强迫不变植被抑制技术改进与应用[J],2019,31(2):82-88.
APA	尹展,张利军,段建良,&张沛.(2019).南方植被区强迫不变植被抑制技术改进与应用.国土资源遥感,31(2),82-88.
MLA	尹展,et al."南方植被区强迫不变植被抑制技术改进与应用".国土资源遥感 31.2(2019):82-88.