全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2015 

一种平原区园地遥感信息提取的新方法
A new method for extracting remote sensing information of orchard in plain terrain

DOI: 10.7523/j.issn.2095-6134.2015.03.008

Keywords: 平原区园地,KT_B变换,平原区园地指数,面向对象的分析方法,砀山县
orchard in plain terrain
,K-T and bands transform,index for orchard in plain terrain,object-based information analysis method,Dangshan county

Full-Text   Cite this paper   Add to My Lib

Abstract:

摘要 针对平原区园地与居民点落叶林不易区分的特点,提出适合于中分辨遥感影像的平原区园地信息提取特征指标——平原区园地指数.利用影像的多时相特征,结合面向对象的分类方法构建平原区园地信息提取模式.安徽省砀山县园地提取实验表明,该方法简单易行,有效避免了"椒盐现像",提高了分类精度,对于准确地确定平原区园地面积及其分布情况具有重要的实际应用价值.

References

[1]  Trias-Sanz R. Texture orientation and period estimator for discriminating between forests, orchards, vineyards, and tilled fields[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44:2 755-2 760.
[2]  董思永. 砀山县耕地养分状况与施肥对策建议[J]. 安徽农学通报, 2012, 18(16): 75, 90.</p>
[3]  Sedano F, Gong P, Ferrao M. Land cover assessment with MODIS imagery in southern African Miombo ecosystems[J]. Remote Sensing of Environment, 2005,98:429-441.
[4]  李增加, 马友鑫, 李红梅, 等. 西双版纳土地利用/覆盖变化与地形的关系[J]. 植物生态学报, 2008, 32(5): 1 091-1 103.
[5]  Boyd D S, Foody G M. An overview of remote sensing and GIS based research in ecological informatics[J]. Ecological Informatics, 2011 (6): 25-36.
[6]  Jesus A G, Arie C S, Joost F D. Optimizing land cover classification accuracy for change detection, a combined pixel-based and object-based approach in a mountainous area in Mexico[J]. Applied Geography, 2012,34:29-37.
[7]  张安定, 彭笃明, 李德一, 等. 基于TM影像的果园空间信息提取技术研究[J]. 测绘科学, 2007, 32(5): 121-123.
[8]  宋丰顺. 安徽砀山地区梨种质资源的RAPD研究[D]. 合肥:安徽农业大学, 2004.
[9]  Wang Q, Wu C, Li Q, et al. Chinese HJ-1A/B satellites and data characteristics[J]. Sci China Earth Sci, 2010, 3 (Suppl.I): 51-57.
[10]  江东, 王乃斌, 杨小唤, 等. NDVI曲线与农作物长势的时序互动规律[J]. 生态学报, 2002, 22(2): 247-252.
[11]  Kauth R J, Thoams G S. The tasseled cap:a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat[C]//Symposium on Machine Processing of Remotely Sensed Data. Laboratory for Applications of Remote Sensing, 1976: 41-45.
[12]  Pu R L, Landry S. A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species[J]. Remote Sensing of Environment, 2012, 124: 516-533.
[13]  Baatz M, Sehape A. Object-oriented and multi-scale image analysis in semantic Networks[C]//The 2nd International Symposium on Operationalization of Remote Sensing. August 16-20th 1999 (Ensehede ITC).
[14]  李丹. 砀山县水果产业化现状分析与持续发展对策[J]. 滁州学院学报, 2010 (1): 83-84.
[15]  Yalniz I Z, Aksoy S. Unsupervised detection and localization of structural textures using projection profiles[J]. Pattern Recognition, 2010,43:3 324-3 337.
[16]  <p> Ranchin T, Naert B, Albuisson M, et al. An automatic method for vine detection in airborne imagery using wavelet transform and multi-resolution analysis[J]. Photogrammetric Engineering and Remote Sensing, 2001, 67: 91-98.
[17]  Claudio M, Damiano G, Lorenzo B, et al. Fusion of multi-spectral SPOT-5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas[J]. International Journal of Remote Sensing. 2009, 30(11): 2 859-2 873.
[18]  颜梅春. 高分辨率影像的植被分类方法对比研究[J]. 遥感学报, 2007, 11 (2): 235-240.
[19]  Wang X Q, Wang Q M, Ling F L. Principal component analysis and its application on banana fields mapping using ENVISAT ASAR data in Zhangzhou, Fujian province[J]. Geo-spatial Information Science, 2009, 12(2): 142-145.
[20]  Herold N D, Haack B N, Solom E. An evaluation of radar texture for land use/cover extraction in varied landscapes[J]. International Journal of Applied Earth Observation and Geoinformation, 2004 (5): 113-128.
[21]  Chen C X, Tang P, Zhao B. Tasseled cap transformation for HJ-1A/B charge coupled device images[J]. Journal of Applied Remote Sensing, 2012, 6(1): 1-11.
[22]  Crist P, Kauth R J, The tasseled cap de-mystified[J]. Photogrammetric Engineering & Remote Sensing, 1986, 52(1): 81-86.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133