Results 31 to 40 of about 300,366 (322)
Сучасні інформаційні системи, 2019 The subject matter of the article is applied information technology of thematic segmentation of optical-electronic images from on-board systems of remote sensing of the Earth.
Irina Khizhnyak
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A Method for Classifying Complex Features in Urban Areas Using Video Satellite Remote Sensing Data
Remote Sensing, 2022 The classification of optical satellite-derived remote sensing images is an important satellite remote sensing application. Due to the wide variety of artificial features and complex ground situations in urban areas, the classification of complex urban ...
Fanghong Ye +4 more
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DEEP FEW-SHOT LEARNING FOR BI-TEMPORAL BUILDING CHANGE DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 In real-world applications (e.g., change detection), annotating images is very expensive. To build effective deep learning models in these applications, deep few-shot learning methods have been developed and prove to be a robust approach in small ...
M. Khoshboresh-Masouleh +1 more
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A Task-Risk Consistency Object Detection Framework Based on Deep Reinforcement Learning
Remote Sensing, 2023 A discernible gap has materialized between the expectations for object detection tasks in optical remote sensing images and the increasingly sophisticated design methods.
Jiazheng Wen, Huanyu Liu, Junbao Li
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Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks [PDF]
, 2018 Automatic urban land cover classification is a fundamental problem in remote sensing, e.g. for environmental monitoring. The problem is highly challenging, as classes generally have high inter-class and low intra-class variance.
Jenssen, Robert +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Ship detection in optical remote sensing images has potential applications in national maritime security, fishing, and defense. Many detectors, including computer vision and geoscience-based methods, have been proposed in the past decade.
Zhengning Zhang +4 more
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An Aircraft Object Detection Algorithm Based on Small Samples in Optical Remote Sensing Image
Applied Sciences, 2020 In recent years, remote sensing technology has developed rapidly, and the ground resolution of spaceborne optical remote sensing images has reached the sub-meter range, providing a new technical means for aircraft object detection.
Ting Wang +8 more
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Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images
Land, 2023 Corn is an important food crop worldwide, and its yield is directly related to Chinese food security. Accurate remote sensing extraction of corn can realize the rational application of land resources, which is of great significance to the sustainable ...
Haoran Meng +5 more
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A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR [PDF]
, 2018 $L_1$ regularization is used for finding sparse solutions to an underdetermined linear system. As sparse signals are widely expected in remote sensing, this type of regularization scheme and its extensions have been widely employed in many remote sensing
Bamler, Richard +3 more
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Journal of Remote Sensing, 2023 Generating canopy-reflectance datasets using radiative transfer models under various leaf and soil optical property combinations is important for remote sensing retrieval of vegetation parameters.
Jianbo Qi +4 more
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