Results 111 to 120 of about 223,998 (212)
Diverse engineering disciplines rely on highly detailed, up-to-date thematic maps for daily decision-making. Over the last decade, researchers have approached the land cover classification using supervised deep learning, requiring many labels per ...
Middelmann, Wolfgang +2 more
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Targeted observations with an airborne wind lidar [PDF]
, 2005 This study investigates the possibilities and limitations of airborne Doppler lidar for adaptive observations over the Atlantic Ocean. For the first time, a scanning 2-µm Doppler lidar was applied for targeted measurements during the Atlantic The ...
Busen, Reinhold +4 more
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European Journal of Remote SensingLand cover classification is essential for applications such as ecological monitoring, resource management and sustainable development. With the rapid development of deep learning, multi-modal data that integrate spectral and spatial information have ...
Qian Xu +6 more
doaj +1 more source
Includes index.Print version record.I -- Introduction -- 1.1 -- Hyperspectral and multispectral imaging: setting the scene -- 1.2 -- Configuration of hyperspectral and multispectral imaging systems -- II -- Algorithms and methods -- 2.1 -- Preprocessing ...
Amigo, Jose Manuel,editor.
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Hyperspectral and LiDAR data fusion and classification
, 2023 Het onderzoek in dit proefschrift gata over nieuw technieken voor het monitoren van landgebruik en landbedekking te monitoren door fusie van diverse remote sensing-modaliteiten. Hyperspectrale beeldtechnologie capteert bijvoorbeeld heel informatieve spectrale en ruimtelijke kenmerken, maar kan temperatuur, hoogte van het landschap en verstrooiing van ...
openaire +1 more source
Hyperspectral colon tissue cell classification [PDF]
, 2004 A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals ...
Rajpoot, Nasir M. (Nasir Mahmood) +2 more
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Spectrograph solutions for portable hyperspectral LIDAR
, 2022 Simultaneously sampling prism and grating-based spectrograph solutions for portable hyper-spectral LIDAR (Light Detection and Ranging) applications are compared in this thesis. Hyper-spectral LIDARs (HSL) are laser-based devices that are used in remote sensing and detection, as they obtain spectral and spatial information simultaneously.
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Remote SensingTransformers have shown remarkable success in modeling sequential data and capturing intricate patterns over long distances. Their self-attention mechanism allows for efficient parallel processing and scalability, making them well-suited for the high ...
Zirui Li +3 more
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Hypergraph Convolution Network Classification for Hyperspectral and LiDAR Data
SensorsConventional remote sensing classification approaches based on single-source data exhibit inherent limitations, driving significant research interest in improved multimodal data fusion techniques. Although deep learning methods based on convolutional neural networks (CNNs), transformers, and graph convolutional networks (GCNs) have demonstrated ...
Lei Wang, Shiwen Deng
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AlgorithmsWith the rapid advancement of remote sensing technologies, the joint classification of hyperspectral image (HSI) and LiDAR data has become a key research focus in the field.
Shuting Wei, Mian Jia, Junyi Duan
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