Object Recognition of High Resolution Remote Sensing Image Based on PSWT

摘要：

High resolution image provides an important new data source for object recognition. A method based on pyramid-structured wavelet transform (PSWT) for object recognition on high-resolution remote sensing image is put forward. First, the model image and the search image are decomposed to pyramid-structure by wavelet transform. A novel match metric is computed using direction vectors constructed by the high-frequency information of wavelet coefficients. This metric is robust to occlusion, clutter, illumination changes. And the matching can be implemented until the highest level of decomposing to track said instances of the model in the lowest one. The tests confirm that the proposed algorithm is efficient and reliable.

关键词： Object recognition High-resolution remote sensing imagery wavelet transform Similarity measures algorithm

作者: Yu Haiyang Gan Fuping

作者单位: School of Surveying and Land Information Engineering Department, Henan Polytechnic, University Jiaoz China Aero Geophysical Survey & Remote Sensing Center for Land & Resources Beijing, China

会议类型: 国际会议

会议名称: 2009图像分析与信号处理国际会议(2009 International Conference on Image Analysis and Signal Processing)

会议地点: 浙江台州

会议语种:英文

页码: 52-56

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）