Abstract Agriculture under Plastic Covered Greenhouses (PCG) has represented a step forward in the evolution from traditional to industrial farming. However, PCG-based …
Planet Labs have recently launched a large constellation of small satellites (3U cubesats) capable of imaging the whole Earth landmass everyday. These small satellites capture …
P Liao, G Chen, X Zhang, K Zhu, Y Gong… - ISPRS Journal of …, 2022 - Elsevier
Epipolar resampling, also known as stereo rectification, is a prerequisite for optical satellite image stereo matching in digital surface model (DSM) generation. In epipolar resampling …
L Zhao, Y Liu, C Men, Y Men - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …
X Wang, M Wang, Y Pi - International Journal of Applied Earth Observation …, 2023 - Elsevier
Stereo vision has attracted much interest in computer vision and remote sensing. Large- scale terrain extraction from optical satellites has achieved various applications due to the …
Kompsat-3/3A provides along-track and across-track stereo data for accurate three- dimensional (3D) topographic mapping. Stereo data preprocessing involves conjugate point …
V Rajan, M Koeva, M Kuffer, A Da Silva Mano… - Remote Sensing, 2023 - mdpi.com
Cultural heritage is under tremendous pressure in the rapidly growing and transforming cities of the global south. Historic cities and towns are often faced with the dilemma of having …
B Lv, J Liu, P Wang, M Yasir - Remote Sensing, 2022 - mdpi.com
Automatic reconstruction of DSMs from satellite images is a hot issue in the field of photogrammetry. Nowadays, most state-of-the-art pipelines produce 2.5 D products. In order …
Z Wu, H Zhu, L He, Y Liu, S Du - Expert Systems with Applications, 2024 - Elsevier
Stereo matching of high-resolution satellite stereo images is a fundamental and challenging task in photogrammetry, geoscience and remote sensing. Some deep learning-based …