一种基于块模糊增强的玉米田遥感图像边缘检测方法

doi:10.7517/j.issn.1674-0475.2016.02.190

影像科学与光化学 ›› 2016, Vol. 34 ›› Issue (2): 190-197.DOI: 10.7517/j.issn.1674-0475.2016.02.190

• 应用与发展 • 上一篇

一种基于块模糊增强的玉米田遥感图像边缘检测方法

梁若飞¹, 杨风暴¹, 王毅敏², 李大威¹, 冯裴裴¹

1. 中北大学信息与通信工程学院, 山西太原 030051;
2. 山西省农业遥感中心, 山西太原 030051

收稿日期:2015-07-29 修回日期:2015-11-14 出版日期:2016-03-15 发布日期:2016-03-15
通讯作者: 李大威
基金资助:
国家自然科学基金项目(61171057)和山西省研究生教育创新项目(2015SY61)资助

An Edge Detection Method for Remote Sensing Images in Corn Field Areas Based on Blocky Fuzzy Enhancement

LIANG Ruofei¹, YANG Fengbao¹, WANG Yimin², LI Dawei¹, FENG Peipei¹

1. Information and Communication Engineering College, North University of China, Taiyuan 030051, Shanxi, P. R. China;
2. Remote Sensing Center of Agriculture of Shanxi Province, Taiyuan 030051, Shanxi, P. R. China

Received:2015-07-29 Revised:2015-11-14 Online:2016-03-15 Published:2016-03-15

摘要/Abstract

摘要：

针对高分一号卫星(GF-1)玉米田遥感图像中玉米田光谱复杂和地块边缘模糊导致的面积统计误差大的问题,本文提出一种块模糊增强和最小值边缘提取相结合的边缘检测方法进行玉米田地块分割处理,以减小面积统计误差。首先将彩色遥感图像从RGB变换到I¹I²I³彩色空间,提取出含丰富特征的单色图I¹;然后利用模糊理论对I¹进行基于块的增强处理;再对增强后的图像进行最小值边缘提取;最后利用Full Lambda-Schedule算法对区域边缘进行优化。通过与Canny和Sobel等边缘提取方法比较,证明本文的边缘检测结果能有效地分割出玉米田地块目标,减少了玉米田光谱复杂和边缘模糊带来的影响,检测出的边缘更符合玉米田实际分布,玉米田面积统计结果更符合实际。

关键词: 块模糊增强, 边缘检测, 玉米田地块分割

Abstract:

This paper proposed a corn field segmentation method for GF-1 satellite remote sensing image based on blocky fuzzy enhancement and min edge extraction. This proposed method improves the accuracy of statistics of corn field area by solving the complexity of spectrum and reducing fuzziness of field edges. First, the color remote sense image was transformed from RGB format into I¹I²I³ format, and the monochrome figure I¹ which has rich characteristics was gotten. Then the image I¹ was enhanced by blocks with fuzzy theory, and the edge of I¹ was extracted by using min algorithm. Last, edge was optimized through Full Lambda-Schedule algorithm. Proposed method was compared with Canny and Sobel algorithm through experiments. The results showed that proposed method was effective in segmenting corn fields and detecting edge of color remote sensing image. The complexity and fuzziness were reduced effectively, and the results were more inline with the actual characteristics of corn distribution. Also the accuracy of statistics cornfield area was improved.

Key words: blocky fuzzy enhancement, edge detection, corn fields parcel segmentation

梁若飞, 杨风暴, 王毅敏, 李大威, 冯裴裴. 一种基于块模糊增强的玉米田遥感图像边缘检测方法[J]. 影像科学与光化学, 2016, 34(2): 190-197.

LIANG Ruofei, YANG Fengbao, WANG Yimin, LI Dawei, FENG Peipei. An Edge Detection Method for Remote Sensing Images in Corn Field Areas Based on Blocky Fuzzy Enhancement[J]. Imaging Science and Photochemistry, 2016, 34(2): 190-197.

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一种基于块模糊增强的玉米田遥感图像边缘检测方法

An Edge Detection Method for Remote Sensing Images in Corn Field Areas Based on Blocky Fuzzy Enhancement

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