Because of the downlink bandwidth bottleneck and power limitation on satellite, the demands for low power cost high performance on-board payload data processing which can reduce the volume of communication data are growing as well. This paper propos es a high efficiency architecture for on-board hyperspectral image classification in a Zynq Soc to achieve real-time performance. The Hamming-distance based Support vector machine (SVM) is adopted to get a high accuracy and low energy consumption for multi-class classification. The sequential control and the computing data path are realized in ARM processor and Programmable logic respectively. By the pipelined computing data path, a satisfying speedup is reached and thus lowers the energy consum...
Hyperspectral instruments have been incorporated in satellite missions, providing data of high spect...
With the launch of the HYPSO-1 hyperspectral imaging research small satellite in February of 2022. I...
Hyperspectral imaging is an important technique in remote sensing which is characterized by high spe...
Because of the downlink bandwidth bottleneck and power limitation on satellite, the demands for low ...
This work present an efficient hardware architecture of Support Vector Machine (SVM) for the classif...
© Springer International Publishing Switzerland 2016.Real-time hyperspectral image classification is...
Abstract. Real-time hyperspectral image classification is a necessary primitive in many remotely sen...
The storage and processing of remotely sensed hyperspectral images (HSIs) is facing important challe...
Hyperspectral Imager for Oceanographic Applications (HYPSO) mission is being developed as a part of ...
Convolutional neural networks have emerged as an excellent tool for remotely sensed hyperspectral im...
Hyper-Spectral Imager for Oceanographic Applications (HYPSO) is being developed as a part of SmallSa...
Recent advances in photonics and imaging technology allow the development of cutting-edge, lightweig...
The identification of signal subspace is a crucial operation in hyperspectral imagery, enabling a co...
Abstract. Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the me...
Hyperspectral remote sensing applications have been greatly increased in the last decades and are ex...
Hyperspectral instruments have been incorporated in satellite missions, providing data of high spect...
With the launch of the HYPSO-1 hyperspectral imaging research small satellite in February of 2022. I...
Hyperspectral imaging is an important technique in remote sensing which is characterized by high spe...
Because of the downlink bandwidth bottleneck and power limitation on satellite, the demands for low ...
This work present an efficient hardware architecture of Support Vector Machine (SVM) for the classif...
© Springer International Publishing Switzerland 2016.Real-time hyperspectral image classification is...
Abstract. Real-time hyperspectral image classification is a necessary primitive in many remotely sen...
The storage and processing of remotely sensed hyperspectral images (HSIs) is facing important challe...
Hyperspectral Imager for Oceanographic Applications (HYPSO) mission is being developed as a part of ...
Convolutional neural networks have emerged as an excellent tool for remotely sensed hyperspectral im...
Hyper-Spectral Imager for Oceanographic Applications (HYPSO) is being developed as a part of SmallSa...
Recent advances in photonics and imaging technology allow the development of cutting-edge, lightweig...
The identification of signal subspace is a crucial operation in hyperspectral imagery, enabling a co...
Abstract. Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the me...
Hyperspectral remote sensing applications have been greatly increased in the last decades and are ex...
Hyperspectral instruments have been incorporated in satellite missions, providing data of high spect...
With the launch of the HYPSO-1 hyperspectral imaging research small satellite in February of 2022. I...
Hyperspectral imaging is an important technique in remote sensing which is characterized by high spe...