针对多幅遥感图像镶嵌的全局和局部辐射度归一化的联合区块调整和变异优化

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL ISPRS Journal of Photogrammetry and Remote Sensing Pub Date : 2024-09-17 DOI:10.1016/j.isprsjprs.2024.08.016
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引用次数: 0

摘要

从跨传感器平台获取的多时相光学遥感图像往往显示出明显的辐射度差异,这给图像镶嵌带来了挑战。这些挑战包括不一致的全局辐射测量色调、不平滑的局部辐射测量过渡以及可见的接缝线。在本文中,为了应对这些挑战,我们提出了一种两阶段方法,利用联合块调整和变异优化实现全局和局部辐射度归一化(RN)。在第一阶段,建立基于块调整的全局归一化(BAGRN)模型,同时对所有图像执行全局归一化,消除全局辐射度差异,实现整体辐射度色调一致性。在第二阶段,引入基于变异优化的局部 RN(VOLRN)模型,以解决全局 RN 后剩余的局部辐射度差异。VOLRN 模型将局部 RN 应用于统一能量函数内的所有图像块,并对数据保真度项施加 l1 准则约束,从而使该模型具有更灵活的局部 RN 功能,可对图像的交叉和过渡区域进行辐射度归一化处理。因此,局部辐射度不连续性和边缘伪影可以被消除,从而实现自然平滑的局部辐射度过渡。在五个具有挑战性的跨传感器和多时相遥感图像数据集上获得的实验结果表明,所提出的方法在视觉质量和定量指标方面都非常出色。所提出的方法能有效消除全局和局部辐射度差异,很好地保留图像梯度,而且处理效率高。因此,它优于最先进的 RN 方法。
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Joint block adjustment and variational optimization for global and local radiometric normalization toward multiple remote sensing image mosaicking

Multi-temporal optical remote sensing images acquired from cross-sensor platforms often show significant radiometric differences, posing challenges when mosaicking images. These challenges include inconsistent global radiometric tones, unsmooth local radiometric transitions, and visible seamlines. In this paper, to address these challenges, we propose a two-stage approach for global and local radiometric normalization (RN) using joint block adjustment and variational optimization. In the first stage, a block adjustment based global RN (BAGRN) model is established to simultaneously perform global RN on all the images, eliminating global radiometric differences and achieving overall radiometric tonal consistency. In the second stage, a variational optimization based local RN (VOLRN) model is introduced to address the remaining local radiometric differences after global RN. The VOLRN model applies local RN to all the image blocks within a unified energy function and imposes the l1 norm constraint on the data fidelity term, providing the model with a more flexible local RN capability to radiometrically normalize the intersection and transition areas of the images. Therefore, the local radiometric discontinuities and edge artifacts can be eliminated, resulting in natural and smooth local radiometric transitions. The experimental results obtained on five challenging datasets of cross-sensor and multi-temporal remote sensing images demonstrate that the proposed approach excels in both visual quality and quantitative metrics. The proposed approach effectively eliminates global and local radiometric differences, preserves image gradients well, and has high processing efficiency. As a result, it outperforms the state-of-the-art RN approaches.

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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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