Zhang, "SatCNN: satellite image dataset classification using agile convolutional neural networks," Remote Sensing Letters, vol. 8, no. 2, pp. 136-145, 2017.Zhong, Y.; Fei, F.; Liu, Y.; Zhao, B.; Jiao, H.; Zhang, L. SatCNN: Satellite image dataset classification using agile ...
Satellite Image Classification Using Convolutional Learning A satellite image classification method using Convolutional Neural Network (CNN) architecture is proposed in this paper. As a special case of deep learning... T Nguyen,J Han,DC Park - Aip Conference 被引量: 10发表: 2013年 Deep ...
iris-> Tool for manual image segmentation and classification of satellite imagery If you are considering building an in house annotation platformread this article. Used PostGis database, GeoJson format and GIS standard in a stateless architecture ...
Evaluating the potential of pyramid-based fusion coupled with convolutional neural network for satellite image classification Deep learning (DL)-based methods have recently been extensively used for satellite image analysis due to their ability to automatically extract spatial-spe... A Shakya,M Biswas,...
Based on the transfer learning strategy, a parallel convolutional neural network (CNN) was designed in the study. To improve the feature mapping of an ... I Atik - 《Information Technology & Control》 被引量: 0发表: 2023年 Satellite image detection and classification using hybrid segmentation ...
Training temporal Convolution Neural Netoworks (CNNs) on satelitte image time series. This code is supporting by a paper published in Remote Sensing:@article{Pelletier2019Temporal, title={Temporal convolutional neural network for the classification of satellite image time series}, author={Pelletier, Ch...
Our deep CNN models use the ResNet-18 architecture (v2, with preactivation)30, chosen for its balance of compactness and high accuracy on the ImageNet image classification challenge31. We modify the first convolutional layer to accommodate multi-band satellite images, and we modify the final lay...
Land Use and Land Cover Classification using a ResNet Deep Learning Architecture -> uses fastai and the EuroSAT dataset Vision Transformers Use Case: Satellite Image Classification without CNNs WaterNet -> a CNN that identifies water in satellite images Road-Network-Classification -> Road network...
Semantic segmentation on multi-resolution optical and microwave data using deep learning Presently, deep learning and convolutional neural networks (CNNs) are widely used in the fields of image processing, image classification, object identific... Singla, Jai G,Vaghela, Bakul 被引量: 0发表: 2024年...
Classification of Hyperspectral Satellite Image Using Deep Convolutional Neural Networks - subhajitchaudhury/deephypercnn