Fusion of RADARSAT-2 imagery with LANDSAT-8 multispectral data for improving land cover classification performance using SVM

著录项

• 来源
  《Asia-Pacific Conference on Synthetic Aperture Radar》|2015年|567-572|共6页
• 会议地点
• 作者

  Sukawattanavijit Chanika; Jie Chen;

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• 会议组织
• 原文格式 PDF
• 正文语种
• 中图分类
• 关键词

  climatology; environmental monitoring (geophysics); geophysical image processing; image classification; image fusion; land cover; land use planning; radar imaging; radial basis function networks; remote sensing by radar; satellite communication; support vector machines; wavelet transforms; HH polarized C band RADARSAT-2 imagery fusion; LANDSAT-8 multispectral data; RBF kernel function; SVM classifier; WT techniques; climatic change detection; data fusion process; eco-environment monitoring; land cover classification performance improvement; land use planning; multisource data; radial basic function kernel function; support vector machine classifier; wavelet-based fusion techniques; Accuracy; Earth; Kernel; Remote sensing; Satellites; Support vector machines; Training; LANDSAT-8; RADARSAT-2; Support Vector Machine (SVM); image fusion; land cover classification;

  机译：气候学;环境监测（地球物理）;地球物理图像处理;图像分类;图像融合;土地覆盖;土地利用规划;雷达成像;辐射基函数网络;雷达遥感;卫星通信;支持向量机;小波变换; HH极化C波段RADARSAT-2影像融合; LANDSAT-8多光谱数据; RBF核函数; SVM分类器; WT技术;气候变化检测;数据融合过程;生态环境监测;土地覆盖分类性能改善;土地利用规划;多源数据;径向基函数核函数;支持向量机分类器;基于小波的融合技术;精度;地球;核;遥感;卫星;支持向量机;训练; LANDSAT-8; RADARSAT-2;支持向量机（SVM）;图像融合;土地覆盖分类;