Airport Detection Based on Line Segment Detector
2012年遥感计算机视觉国际会议——The difficulty and limitation of small target detection methods for high-resolution remote sensing data have been a recent research hot spot. At present, it has much realistic significance to rapidly detect targets in high resolution remote sensing images, especially within limited computation resources. Employing relative achievements of visual attention in perception psychology and neurosciences, this paper endeavors to construct an attention model for target detection and make use of the advantages of fast and accurate small target detection under complex varied nature environment. The proposed model consists of the processing of bottom-up visual information extraction and top-down visual attention guiding. The construction and calculate method is presented in paper. The novel framework breaks down the complex problem of scene analysis and improves the computation efficiency by selective attention. The experimental results over aircraft detection in Quick-bird satellite images show that the proposed model is well-behaved on high resolution remote sensing images.
关键词: 计算机 遥感 视觉 国际 2012年遥感计算机视觉国际会议
主讲人:Zuyang Kou 机构:Beihang University
时长:0:13:42 年代:2012年
热点排行
- 1 揭开土豆减肥的秘密
- 2 英语学习策略(1)
- 3 古兽重现
- 4 《图书馆与信息服务营销》先导片
- 5 Excel实战技巧精粹
- 6 恐龙绝灭与生态危机(1)
- 7 在路上
- 8 生物医学图像处理——绪言(1)