欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
传统高分辨率遥感影像感兴趣区域的检测方法通常要利用先验知识库对整幅影像进行全局分析与搜索,具有很高计算复杂度。从人眼视觉特性出发,提出一种新的高分辨率遥感影像感兴趣区域快速检测算法。基于视觉关注模型对高分辨率遥感影像进行空间降维,确定视觉关注焦点;根据关注焦点位置在原始遥感影像中描述出相应的感兴趣区域。实验结果表明,新方法不仅具有较低计算复杂度,而且有效避免了影像分割、特征检测等计算复杂度较高的全图搜索方法,提高了高分辨率遥感影像感兴趣区域的检测效率。
英文摘要：
The traditional detection methods for these regions of interest in high resolution remote sensing image generally search the whole image on the basis of prior knowledge, which leads to high computational complexity. A new fast detection algorithm based on human visual characteristic for these regions of interest in high resolution remote sensing image is proposed. The new algorithm based on visual attention model applies spatial dimension reduction strategy to confirm these focuses of visual attention. According to the positions of focuses of visual attention, the new algorithm describes these relevant regions of interest in the original remote sensing image. The experimental results show that the new algorithm could not only have the lower computational complexity, but also avoid image segmentation and feature detection for the whole image and improve the detection efficiency of regions of interest in high resolution remote sensing image.
同期刊论文项目
同项目期刊论文
Region of Interest Detection Based on Visual Attention and Threshold Segmentation in High Spatial Re
Region-of-interest extraction based on frequency domain analysis and salient region detection for re
Region-of-interest denoising of high spatial resolution remote sensing image based on generalized cr
Remote sensing image coding based on adaptive directional lifting integer wavelet and optimal thresh
Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adapt
Parthenon-genetic simulated annealing algorithm and its application in combinatorial optimization pr
Remote sensing image compression based on integer wavelet transform and double threshold alternating
New multiple regions of interest coding using partial bitplanes scaling for medical image compressio
New region of interest medical image coding for JPEG2000: Compensation-based partial bitplane altern
Still image denoising based on integer wavelet transform and fast recurrent generalized cross valida
Texture image retrieval based on the statistical model of Q-shift dual-tree complex wavelet coeffici
期刊信息
位置：