| 基于NDVI纹理的山东丘陵地区SPOT-5影像果园信息识别研究 |
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| 引用本文： | 王大鹏,王周龙,李德一.基于NDVI纹理的山东丘陵地区SPOT-5影像果园信息识别研究[J].测绘科学,2007,32(1):126-127,121. |
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| 作者姓名： | 王大鹏 王周龙 李德一 |
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| 作者单位： | 鲁东大学地理与资源管理学院,山东烟台,64025;鲁东大学地理与资源管理学院,山东烟台,64025;鲁东大学地理与资源管理学院,山东烟台,64025 |
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| 基金项目： | 山东省自然科学基金(Z2003E01) |
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| 摘 要： | 胶东半岛是我国重要的水果生产基地,及时有效地获取果园信息,对指导当地水果生产具有重要意义。在遥感信息提取中,纹理特征是一种有效的辅助信息,但在原始影像中地形阴影对纹理特征有较大影响。本文提出了一种利用NDVI影像的纹理特征和光谱特征从SPOT-5影像自动识别果园信息的方法,消除了地形阴影的影响,取得了86.40%的识别精度。
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| 关 键 词： | 丘陵地区 果园 NDVI纹理 熵 |
| 文章编号： | 1009-2307（2007）01-0126-03 |
| 修稿时间： | 2006-04-03 |
Orchard information recognition of hill region in Shandong Peninsula from SPOT-5 image based on NDVI texture |
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| WANG Da-peng,WANG Zhou-long,LI De-yi.Orchard information recognition of hill region in Shandong Peninsula from SPOT-5 image based on NDVI texture[J].Science of Surveying and Mapping,2007,32(1):126-127,121. |
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| Authors: | WANG Da-peng WANG Zhou-long LI De-yi |
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| Abstract: | Orchard is an important agriculture industry of Shandong peninsular.How to gains the orchard information promptly and effectively is significant to instructing fruit production and local planning.Texture is one of the most effective methods in remote sensing image classification.In original remote sensing image topographic shadow shows an obvious influence on the texture.In this paper we propose an orchard recognition model from SPOT-5 image by using NDVI texture and spectral information.With this method,we can eliminate the influence of topographic shadow,and can extract orchard at 86.4 percent accuracy. |
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| Keywords: | hill region orchard NDVI texture entropy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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