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A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images. [PDF]
PLoS ONEOptical remote sensing images were prone to extensive cloud coverage, especially under mountainous conditions with frequent weather changes. To address this issue, this paper proposed a novel cloud removal method that integrated features from SAR and ...
Yuyao Wang, Jiehai Cheng
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POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Forests are irreplaceable and are being studied extensively. Better forest inventory and understanding necessitate effective mapping, modeling, and automatic analysis.
D. Iwaszczuk +4 more
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BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 A 3D model can be useful for inventory management and monitoring of forests. For this task, we present our prototype mobile mapping backpack system for collecting 3D point clouds of forest vegetation.
M. Goebel, D. Iwaszczuk
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SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Plants signal their health in a broader spectrum than we can see with our eyes. We compared sunlight reflectance on plants at spectral wavelengths ranging from 430 nm to 870 nm in our study.
M. Goebel, D. Iwaszczuk
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SUPER-RESOLUTION RESEARCH ON REMOTE SENSING IMAGES IN THE MEGACITY BASED ON IMPROVED SRGAN [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Remote sensing images of Earth observation with high spatial resolution and high temporal resolution are critical for the application of remote sensing technology in Megacities.With the development of Smart City,more demands which are still difficult to ...
L. Xin +5 more
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A Model for Resolving Images of Similar Quality Based on Data Application
IEEE Access, 2021 Different remote sensing image applications require different quality remote sensing images, and selecting the best quality remote sensing image from multiple remote sensing images with similar quality directly determines the application effect of the ...
Xu Huang, Zhengwei He, Yan Wu, Pengi Lyu
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Generating Natural Adversarial Remote Sensing Images [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Over the last years, Remote Sensing Images (RSI) analysis have started resorting to using deep neural networks to solve most of the commonly faced problems, such as detection, land cover classification or segmentation. As far as critical decision making can be based upon the results of RSI analysis, it is important to clearly identify and understand ...
Jean-Christophe Burnel +3 more
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Unsupervised Remote Sensing Image Super-Resolution Guided by Visible Images
Remote Sensing, 2022 Remote sensing images are widely used in many applications. However, due to being limited by the sensors, it is difficult to obtain high-resolution (HR) images from remote sensing images.
Zili Zhang +3 more
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Multiresolution Remote Sensing Image Clustering [PDF]
IEEE Geoscience and Remote Sensing Letters, 2009 With the multiplication of satellite images with complementary spatial and spectral resolution, a major issue in the classification process is the simultaneous use of several images. In this context, the objective of this letter is to propose a new method which uses information contained in both spatial resolutions.
Wemmert, Cédric +3 more
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PRIMITIVE-BASED BUILDING RECONSTRUCTION BY INTEGRATION OF LIDAR DATA AND OPTICAL IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Airborne LiDAR data and optical imagery are two datasets used for 3D building reconstruction. In this paper, the complementarities of these two datasets are utilized to perform a primitive-based 3D building reconstruction.
W. Zhang +3 more
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