Pre-trained VGG-Net Model for image classification using tensorflow
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Updated
Oct 15, 2018 - Python
Pre-trained VGG-Net Model for image classification using tensorflow
A neural network coded in TensorFlow that produces static maps or segmentation maps from satellite images.
Implementing a remote sensing object detector using Tensorflow object detection API
Plugin for searching and downloading satellite`s images for QGIS 3
Region of Interest detection on satellite images for weather changes
Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍
Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍
DeepGlobe Land Cover Classification Challenge遥感影像语义分割
The Rapid Method for Road Extraction from High-Resolution Satellite Images.
Satellite-Image-Alignment-Differencing-and-Segmentation
Pytorch code for estimating the presence of the West Nile Disease employing Graph Neural network
A unified codebase, developed in TensorFlow 2, for a collection of deep neural networks for matching, segmenting and translating acoustic and satellite images.
download Baidu 19-level tiles by GCJ coordinates
A neural network coded in TensorFlow 1 that produces satellite images from acoustic images.
A QGIS plugin to interface with the Arlula Satellite Imagery Archive.
Satellite image classification using multiple machine learning algorithms
Satellites receiving system with decoder
Mxnet repository for generating embeddings on satellite images. Includes sampling of images, mining algorithms, different architectures, error functions, measures for evaluation.
Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.
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