minaahmed Goto Github PK

palm-tree-detection

Use ResNet50 to predict oil palm plantations in satellite images.

pld-uav

Two Datasets for Power Line Detection in UAV Images

pointcloud-semantic-segmentation

Simple baseline in Keras for semantic segmentation of point clouds

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-workshop

radar-based-flood-mapping

This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

rareplanes

retinanet

RetinaNet for Object Detection in TensorFlow2 and Applications

road-segmentation

road_extraction_remote_sensing

Road Extraction based on U-Net architecture (CVPR2018 DeepGlobe Challenge submission)

roads-segmentation-mnih-dataset-

Deep learning based scripts which, given an aerial image can output a binary mask for the input image showing for each pixel if it belongs to a road or not. Approach is based on Massachusetts Roads Dataset (Mnih) containing total 1438 high resolution images along with their road masks.

rotation-yolov5

rotation detection based on yolov5

s-dmm

s1gflood-detection

s2p

Satellite Stereo Pipeline

sar-colorization-benchmarking-protocol

Codes for "A Benchmarking Protocol for SAR Colorization: From Regression to Deep Learning Approaches"

sar_cd_ddnet

Change Detection in Synthetic Aperture Radar Images Using a Dual Domain Network, IEEE GRSL 2022

sar_cd_safnet

Code for "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE JSTARS 2021

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-image-georeferencing-and-rpc-generation

Summer Project at Indian Institute of Remote Sensing, ISRO, Dehradun.

satellite-image-time-series-datasets

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning tasks. It covers multi-temporal datasets with more than two acquisitions but not bi-temporal datasets.

satellite-img

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

saudi-arabia-weather-forecasting

Use sequence models to forecast weather in Saudi Arabia cities

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

semantic-segmentation-in-nir-images

Implementing DeepLab_v3 Atrous Convolutional Networks for Semantic Segmentation in NIR Images

semantic_segmentation_models

I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.

semi-supervised-satellite-image-segmentation

Exploration of using semi-supervised pre-training to improve convolutional neural network image segmentation performance on satellite imagery

semisup-semseg

sensaturban

🔥Urban-scale point cloud dataset (CVPR 2021)

sentinel-1-preprocessing-using-snappy

Sentinel-1 image pre-processing using snappy.