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38-cloud-a-cloud-segmentation-dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

awesome-pansharpening

This repository collects pan-sharpening methods, codes, and datasets.

b

building-detection

Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery

building-detection-and-roof-type-recognition

Training dataset for supervised learning

building-extraction

cafferemotesensing

chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

cloud-net-a-semantic-segmentation-cnn-for-cloud-detection

A semantic segmentation CNN for cloud detection

cloudpee-net

A robust encoder-decoder architecture for cloud detection from satellite remote sensing images

cnn-based-cloud-detection-methods

Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery

dan

A new architecture of semantic segmentation called Dense-Attention Networks.

dataset-for-illegal-buildings-detection-from-satellite

Dataset for illegal buildings detection from satellite

deep_learning_in_python_2018

faster_rcnn_for_dota

Code used for training Faster R-CNN on DOTA

getsetgo_keras-beginner

Pretrained Convolutional Neural Network models(CNN) (Imagenet challange ILSVRC) are used to predict input image .Codes to extract specific layers ,fine tune and visualize those models are also provided.

hog_svm

使用HOG+SVM进行图像分类

image-segmentation

A graph-based image segmentation algorithm

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

keras_transfer_cifar10

Object classification with CIFAR-10 using transfer learning

pancolorgan

pansharpening

The Pansharpening Toolbox

pansharpening-cnn-python-version

This is the python implementation of the paper Target-Adaptive CNN Based Pansharpening.

processing-imageprocessing

Collection of basic image processing algorithms for processing

py_pansharpening

Rewrite some pansharpening methods with python

segmentation_of_cloud_images

segmentation of cloud Images

semantic-segmentation-on-buildings

Semantic segmentation on buildings based on the INRIA the INRIA Aerial Image Labeling Dataset using neural network

semanticsegmentation

Semantic segmentation on aerial images (aka image classification) using a CNN-based UNet.