Abstract: We have developed a process for evaluating future satellite-based hyperspectral microwave sensor designs using deep neural networks (DNN).

We have developed a process for evaluating future satellite-based hyperspectral microwave sensor designs using deep neural networks (DNN).

James [23] and his colleagues developed a deep neural network for evaluating future satellite-based hyperspectral microwave sensor designs. They utilized the ...

Deep Neural Networks For Evaluating Future Satellite-Based Hyperspectral Microwave Sensor Designs · J. MacKinnonAntonia Gambacorta +9 authors. Ian Adams.

Publications (6). Deep Neural Networks For Evaluating Future Satellite-Based Hyperspectral Microwave Sensor Designs · Conference Paper. July 2023. ·. 15 Reads.

This study proposes an atmospheric temperature profile detection algorithm based on Convolutional Neural Networks (CNN) and Local Attention Mechanisms

Deep Neural Networks For Evaluating Future Satellite-Based Hyperspectral Microwave Sensor Designs. IGARSS 2023: 5210-5213; 2022. [c4]. view. electronic edition ...

Deep Neural Networks For Evaluating Future Satellite-Based Hyperspectral Microwave Sensor Designs · J. MacKinnonAntonia Gambacorta +9 authors. Ian Adams.

Jun 2, 2023 · In this research, we present the performance evaluation and analysis of deep learning approaches based on Convolutional Neural Networks and vision transformer

Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, ...