Results 1 to 10 of about 49,752 (116)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Water body extraction from remote sensing images is an important task. Deep learning has become a more popular method for extracting water bodies from remote sensing images.
Mengya Li +5 more
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An Uncertainty Descriptor for Quantitative Measurement of the Uncertainty of Remote Sensing Images
Remote Sensing, 2019 Reliable image classification results are crucial for the application of remote sensing images, but the reliability of image classification has received less attention. In particular, the inherent uncertainty of remote sensing images has been disregarded.
Qi Zhang, Penglin Zhang
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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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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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Remote SensingWith the continuous development of space remote sensing technology, the spatial resolution of visible remote sensing images has been continuously improved, which has promoted the progress of remote sensing target detection. However, due to the limitation
Yongxian Zhao, Haijiang Sun, Shuai Wang
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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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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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