首页> 外文会议>Proceedings of PolInSAR 2011: 5th international workshop on science and applications of SAR polarimetry and polarimetric interferometry. >IDENTIFICATION OF STRUCTURAL CHANGES CAUSED BY WEED INFECTION IN AGRICULTURE BY OPTICAL AND RADAR DATA
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IDENTIFICATION OF STRUCTURAL CHANGES CAUSED BY WEED INFECTION IN AGRICULTURE BY OPTICAL AND RADAR DATA

机译:利用光学和雷达数据识别农业杂草侵染引起的结构变化

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In most cases the healthy, weed-free cropland has arnregular geometric structure determined by sowingrntechnique and plant-to-plant distances. Several plantrndiseases and weed infections can cause disorders andrnstructural changes in cropland. According to ourrnexperience, this type of geometrical changes can bernwell detected by using polarimetric radar imagesrn(RADARSAT2, ALOS PALSAR) with differentrnpolarizations (dual, quad) and wavelengths (C, Lrnband).rnWe analyze agricultural damages resulting in structuralrnchanges in different croplands. In this paper wernpropose to complete the methodology of identifyingrnthese agricultural damages based on the integrated usernof optical and radar satellite images. We focused onrnthe detection of ragweed infection on sunflower lands.rnAccording to our results it is possible to develop arnmethodology based on the quantitative evaluation ofrnpolarimetric features which enables us to identifyrnragweed infected sunflower lands before the beginningrnof pollen scattering (beginning of August).
机译:在大多数情况下,健康,无杂草的农田具有不规则的几何结构,该几何结构由播种技术和植物间距离决定。几种植物病和杂草感染可导致农田失调和结构变化。根据我们的经验,可以通过使用具有不同偏振(双,四)和波长(C,L波段)的极化雷达图像(RADARSAT2,ALOS PALSAR)来检测这种几何变化。我们分析了造成不同农田结构变化的农业破坏。本文提出了基于光学和雷达卫星图像综合用户识别这些农业损害的方法。我们专注于检测向日葵土地上的豚草感染。根据我们的结果,有可能基于对极化特征的定量评估开发出方法学,这使我们能够在开始花粉散布(8月初)之前鉴定出已感染豚草的向日葵土地。

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