...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >A Novel Saliency-Oriented Superresolution Method for Optical Remote Sensing Images
【24h】

A Novel Saliency-Oriented Superresolution Method for Optical Remote Sensing Images

机译：面向显着性的光学遥感影像超分辨率新方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Image superresolution (SR) techniques have widely been used to satisfy the increasing resolution demands of many advanced applications in the remote sensing domain. However, most of the existing SR models are directly operated on the whole image without considering the deviations and different objective requirements of different regions in optical remote sensing images, which are not sensible enough. To fill this gap, we propose a novel saliency-oriented adaptive SR strategy motived by the visual attention mechanism. The key idea of this letter is employing diverse treatments on different regions according to their unique requirements. For instance, the reconstruction quality of regions of interest (ROIs) should be as fine as possible. First, we employ a saliency detection strategy based on the edge-enhancement discrete wavelet transform to generate a saliency map, which clearly demonstrates the distribution of ROIs. Then, with regard to these areas, a new SR strategy is applied to get a better performance, where the training process is upgraded with the feature optimization process. In addition, the rest regions also receive the standard A+ to improve the quality there. Finally, all restored high-resolution (HR) patches are fused together as the desired reconstructed HR image. The comparative experiments validate the effectiveness of our scheme.
机译：图像超分辨率（SR）技术已被广泛用于满足遥感领域许多高级应用对分辨率日益增长的需求。然而，大多数现有的SR模型都直接在整个图像上操作，而没有考虑光学遥感图像中不同区域的偏差和不同的客观要求，这不够明智。为了填补这一空白，我们提出了一种基于视觉注意机制的面向显着性的自适应SR策略。这封信的关键思想是根据其独特要求在不同地区采用多种处理方式。例如，感兴趣区域（ROI）的重建质量应尽可能好。首先，我们采用基于边缘增强离散小波变换的显着性检测策略来生成显着图，该显着图清楚地说明了ROI的分布。然后，针对这些领域，应用新的SR策略以获得更好的性能，其中训练过程将通过功能优化过程进行升级。此外，其余地区也收到标准A +，以改善那里的质量。最后，将所有恢复的高分辨率（HR）色块融合在一起，作为所需的重建HR图像。比较实验验证了我们方案的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号