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Remote sensing image scene classification: Benchmark and state of the art
Remote sensing image scene classification plays an important role in a wide range of
applications and hence has been receiving remarkable attention. During the past years …
applications and hence has been receiving remarkable attention. During the past years …
Conventional to deep ensemble methods for hyperspectral image classification: A comprehensive survey
Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
imaging (HSI) has been widely used in a wide range of real-world application areas due to …
Hyperspectral image classification—Traditional to deep models: A survey for future prospects
Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …
because it benefits from the detailed spectral information contained in each pixel. Notably …
Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks
Extraction of man-made objects (eg, roads and buildings) from remotely sensed imagery
plays an important role in many urban applications (eg, urban land use and land cover …
plays an important role in many urban applications (eg, urban land use and land cover …
[ספר][B] Fundamentals of satellite remote sensing: An environmental approach
E Chuvieco - 2020 - taylorfrancis.com
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …
TreeUNet: Adaptive tree convolutional neural networks for subdecimeter aerial image segmentation
Fine-grained semantic segmentation results are typically difficult to obtain for subdecimeter
aerial imagery segmentation as a result of complex remote sensing content and optical …
aerial imagery segmentation as a result of complex remote sensing content and optical …
Satellite image classification using a hierarchical ensemble learning and correlation coefficient-based gravitational search algorithm
Satellite image classification is widely used in various real-time applications, such as the
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
military, geospatial surveys, surveillance and environmental monitoring. Therefore, the …
Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images
Extraction of road networks in urban areas from remotely sensed imagery plays an important
role in many urban applications (eg road navigation, geometric correction of urban remote …
role in many urban applications (eg road navigation, geometric correction of urban remote …
Local semantic enhanced convnet for aerial scene recognition
Aerial scene recognition is challenging due to the complicated object distribution and spatial
arrangement in a large-scale aerial image. Recent studies attempt to explore the local …
arrangement in a large-scale aerial image. Recent studies attempt to explore the local …