Automated 3D reconstruction based on satellite images has become a research hotspot at
the interdisciplinary of photogrammetry and computer vision. The 3D results based on …

Three-dimensional reconstruction based on optical satellite images has always been a
research hotspot in the field of photogrammetry. In particular, the 3D reconstruction of …

Stereo matching is one of the popular methods to acquire the depth maps in 3-D
reconstruction due to its high accuracy and completeness. However, traditional stereo …

Stereo matching of high-resolution satellite stereo images is a fundamental and challenging
task in photogrammetry, geoscience, and remote sensing. Some deep learning-based …

Stereo rectification is one of the most important steps for stereo matching and subsequently
for digital surface model generation from satellite stereo images. This study proposes a new …

Dense matching of remote sensing images is a key step in the generation of accurate digital
surface models. The semi-global matching algorithm comprehensively considers the …

In this paper, we propose a self-supervised stereo matching method based on superpixel
random walk pre-matching (SRWP) and parallax-channel attention mechanism (PCAM). Our …

Epipolarity is the foundation of epipolar resampling, which is used to eliminate the vertical
disparity between stereo pairs in stereo matching. To analyze the epipolarity of pushbroom …

As the basis of stereo observation, epipolar resampling is a critical technology for 3D
reconstruction. With the development of the 3D reconstruction using multi-view satellite …

提出一种基于改进半全局匹配算法的高分辨率遥感影像数字表面模型(digital surface model,
DSM) 生成方法. 首先利用影像间连接点几何约束关系对有理函数模型进行系统误差补偿 …