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利用加利福尼亚州卡什溪沿岸的航空照片对小花柽柳进行纹理分析以绘制地图。

Texture analysis for mapping Tamarix parviflora using aerial photographs along the Cache Creek, California.

作者信息

Ge Shaokui, Carruthers Raymond, Gong Peng, Herrera Angelica

机构信息

Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA.

出版信息

Environ Monit Assess. 2006 Mar;114(1-3):65-83. doi: 10.1007/s10661-006-1071-z. Epub 2006 Mar 29.

Abstract

Natural color photographs were used to detect the coverage of saltcedar, Tamarix parviflora, along a 40 km portion of Cache Creek near Woodland, California. Historical aerial photographs from 2001 were retrospectively evaluated and compared with actual ground-based information to assess accuracy of the assessment process. The color aerial photos were sequentially digitized, georeferenced, classified using color and texture methods, and mosaiced into maps for field use. Eight types of ground cover (Tamarix, agricultural crops, roads, rocks, water bodies, evergreen trees, non-evergreen trees and shrubs (excluding Tamarix)) were selected from the digitized photos for separability analysis and supervised classification. Due to color similarities among the eight cover types, the average separability, based originally only on color, was very low. The separability was improved significantly through the inclusion of texture analysis. Six types of texture measures with various window sizes were evaluated. The best texture was used as an additional feature along with the color, for identifying Tamarix. A total of 29 color photographs were processed to detect Tamarix infestations using a combination of the original digital images and optimal texture features. It was found that the saltcedar covered a total of 3.96 km(2) (396 hectares) within the study area. For the accuracy assessment, 95 classified samples from the resulting map were checked in the field with a global position system (GPS) unit to verify Tamarix presence. The producer's accuracy was 77.89%. In addition, 157 independently located ground sites containing saltcedar were compared with the classified maps, producing a user's accuracy of 71.33%.

摘要

利用自然彩色照片来检测加利福尼亚州伍德兰附近卡什溪40公里河段沿岸的小花柽柳覆盖情况。对2001年的历史航空照片进行回顾性评估,并与实际地面信息进行比较,以评估评估过程的准确性。彩色航空照片被依次数字化、地理配准、使用颜色和纹理方法进行分类,并拼接成地图以供实地使用。从数字化照片中选择了八种地面覆盖类型(柽柳、农作物、道路、岩石、水体、常绿树木、非常绿树木和灌木(不包括柽柳))进行可分离性分析和监督分类。由于这八种覆盖类型之间颜色相似,最初仅基于颜色的平均可分离性非常低。通过纳入纹理分析,可分离性得到了显著提高。评估了六种不同窗口大小的纹理度量。最佳纹理与颜色一起用作识别柽柳的附加特征。总共处理了29张彩色照片,使用原始数字图像和最佳纹理特征的组合来检测柽柳侵扰情况。结果发现,在研究区域内,柽柳的覆盖总面积为3.96平方公里(396公顷)。为了进行准确性评估,使用全球定位系统(GPS)装置在实地检查了生成地图中的95个分类样本,以核实柽柳的存在情况。生产者精度为77.89%。此外,将157个独立定位的含有柽柳的地面站点与分类地图进行比较,得到用户精度为71.33%。

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