Results 11 to 20 of about 102,502 (260)
A Modeling Approach for Predicting the Resolution Capability in Terrestrial Laser Scanning
Remote Sensing, 2021 The minimum size of objects or geometrical features that can be distinguished within a laser scanning point cloud is called the resolution capability (RC).
Sukant Chaudhry +2 more
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Analyzing the Effect of the Spectral Interference of Mixed Pixels Using Hyperspectral Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The widespread presence of mixed pixels in remotely sensed images is a pressing challenge for accurate target detection and classification. Linear spectral mixture analysis (LSMA) is commonly used to address this problem by deriving remotely sensed ...
Shanshan Feng, Fenglei Fan
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SURFACE HANDWRITING ENHANCEMENT OF ARTIFACTS BASED ON MANIFOLD LEARNING AND MIXED PIXEL DECOMPOSITION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Written information on the surface of cultural relics can record important historical events. Due to the influence of natural and human factors, the surface of cultural relics fades and the words are difficult to identify.
S. H. Wang +9 more
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Generation of Sub-Pixel-Level Maps for Mixed Pixels in Hyperspectral Image Data
Current Science, 2021 Hyperspectral data can find wide applications in classification and mapping of pure and mixed pixels in images of different land-cover types. Hyperspectral data of high spectral resolution enhance discrimination of target objects; but the low spatial resolution poses a challenge due to creation of mixed pixels.
Prem Kumar, Somdatta Chakravortty
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Remote Sensing, 2021 To achieve effective deep fusion features for improving the classification accuracy of hyperspectral remote sensing images (HRSIs), a pixel frequency spectrum feature is presented and introduced to convolutional neural networks (CNNs).
Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
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Sub-Pixel Mapping Based on MAP Model and Spatial Attraction Theory for Remotely Sensed Image
IEEE Access, 2017 There are a lot of mixed pixels in the remotely sensed imagery, which can seriously limit the utility of classification. Sub-pixel mapping (SPM) is a promising technique to solve this problem.
Ke Wu +3 more
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International Journal of Coal Science & Technology, 2023 Desert lakes are important wetland resources in the blown-sand area of western China and play a significant role in maintaining the regional ecological environment. However, large-scale coal mining in recent years has considerably impacted the deposition
Qiuji Chen, Yanan Cao
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Remote Sensing, 2015 Accurately mapping urban vegetation carbon density is challenging because of complex landscapes and mixed pixels. In this study, a novel methodology was proposed that combines a linear spectral unmixing analysis (LSUA) with a linear stepwise regression ...
Hua Sun +7 more
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Remote Sensing, 2018 Spatial heterogeneity is present in the land surface at every scale and is one of the key factors that introduces inherent uncertainty into simulations of land surface processes and parameter retrieval based on remotely sensed data.
Wentao Yu +6 more
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IEEE Access, 2023 Precise spatial information of crop distribution is vital for government and research organizations to monitor agriculture activities like crop health monitoring, crop yield prediction, and food security.
Arun Kant Dwivedi +3 more
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