A Novel Fine Registration Technique for Very High Resolution Remote Sensing Images
Xianzhang Zhu, Yongjun Zhang, Hui Cao, Kai Tan, Xiao Ling · 2018
This paper presents a novel registration noise (RN) estimation technique for fine registration of very high resolution (VHR) images. This is accomplished by using a two-step strategy to estimate and mitigate residual local misalignments in standardly registered VHR images. The first step takes advantages of the superpixel segmentation and frequency filtering to generate sparse superpixels as the basic objects for RN estimation. Then local rectification is employed for fine registration of the input image under the aid of RN information. More factors are taken into consideration in order to enhance the RN estimation performance. The proposed approach is designed in a fine registration strategy, which can effectively improve the pre-registration result. The experimental results obtained with real datasets confirm the effectiveness of the proposed method.