Results 41 to 50 of about 93,663 (165)
The detection of acetaldehyde in cold dust clouds
The Astrophysical Journal, 1985 Observations of the 1(01)-0(00) rotational transitions of A and E state acetaldehyde are reported. The transitions were detected, for the first time in interstellar space, in the cold dust clouds TMC-1 and L134N, and in Sgr B2. This is also the first time acetaldehyde has been found in a dust cloud and is the most complex oxygen-bearing molecule yet ...
MATTHEWS, HE +2 more
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Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWith the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully exploiting spectral information.
Yunchang Wang +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Cloud detection of satellite imagery is very important for quantitative remote sensing research and remote sensing applications. However, many satellite sensors do not have enough bands for a quick, accurate, and simple detection of clouds. Particularly,
Bo Zhong +5 more
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ISPRS International Journal of Geo-Information, 2018 In high-resolution image data, multilevel cloud detection is a key task for remote sensing data processing. Generally, it is difficult to obtain high accuracy for multilevel cloud detection when using satellite imagery which only contains visible and ...
Yang Chen +5 more
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Improvement of the automatic gamma correction method in cloud image detection
Matrix: Jurnal Manajemen Teknologi dan Informatika, 2022 Clouds become an important part of human life and are studied in several disciplines in the form of important analyses in some applications. Examples of application of cloud analysis on solar panels or photovoltaics, accurate weather forecasts, accuracy ...
Bayu Nadya Kusuma, Dian Budhi Santoso
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An Effective Method for Detecting Clouds in GaoFen-4 Images of Coastal Zones
Remote Sensing, 2020 Cloud-cover information is important for a wide range of scientific studies, such as the studies on water supply, climate change, earth energy budget, etc.
Zheng Wang +7 more
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Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey
Remote SensingIn optical remote sensing images, the presence of clouds affects the completeness of the ground observation and further affects the accuracy and efficiency of remote sensing applications.
Zhengxin Wang +7 more
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Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material ...
Jiajun Yang +5 more
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Grasp Pose Detection in Point Clouds [PDF]
The International Journal of Robotics Research, 2017 Recently, a number of grasp detection methods have been proposed that can be used to localize robotic grasp configurations directly from sensor data without estimating object pose. The underlying idea is to treat grasp perception analogously to object detection in computer vision. These methods take as input a noisy and partially occluded RGBD image or
Andreas ten Pas +3 more
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Weakly supervised cloud detection combining spectral features and multi-scale deep network
GIScience & Remote SensingClouds significantly affect the quality of optical satellite images, which seriously limits their precise application. Recently, deep learning has been widely applied to cloud detection and has achieved satisfactory results.
Shaocong Zhu +3 more
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