hulaba Goto Github PK

remote-sensing-deep-learning

remote-sensing-image

Remote sensing image scene classification

remote-sensing-image-caption

remote sensing image classification and image caption by PyTorch

remote-sensing-image-captioning

Architectures for Remote Sensing Image Captioning Thesis

remote-sensing-image-captioning-with-transformer-and-multilabel-classification

remote-sensing-image-scene-classification-with-noisy-label-distillation-nld

paper code "Remote Sensing Image Scene Classification with Noisy Label Distillation"

remote-sensing-image-semantic-segmentation-tf2

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

remote-sensing-images-caption

remote-sensing-scene-classification

For the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilinear feature extraction structure. The idea of branch feature fusion was proposed to fuse the extracted features of different branches.

remote-sensing-scene-classification-landfills

Learning to identify illegal landfills through scene classificationin aerial images

remote-sensing-segmentation-pytorch

基于Pytorch框架，处理遥感影像分割任务

remote_sensing_image_captioning

Remote sensing Image Captioning is a special case of Image Captioning which solves the difficulties in processing the remote sensing images. Issues may arise due to translation, rotation and viewpoint of images and maintaining semantic consistency in the generated captions. This method of describing a remote sensing scene in the form of sentences plays an important role in a number of fields, such as image retrieval, scene classification and as a vision companion. A Domain-driven approach is developed, in which the domain probabilities are used for captioning the remote sensing images. This approach concentrates on the domain- based information available in the images. A new dataset, called UAVIC dataset is created for images captured using Unmanned Aerial Vehicle (UAV), which covers wide range of land having multiple terrains and gives a better view of the landscapes. The proposed domain driven approach is applied to UCM and UAVIC dataset and the quality of resulting captions are evaluated using BLEU scores.

research

This is my final year research. This research is based on machine learning and the topic is Yield predication of paddy in Srilanka by using weather data.

rice-yield-prediction-api

An API for rice yield prediction ML project

rice_yield_cnn

Rice Yield CNN is a model to estimate the rice yield based on RGB image of rice canopy at harvest. The model is developed based on more than 22,000 images and yield database collected across 7 countries.

rnpn

R client for the National Phenology Network database API

robosat_buildings_training

手把手教你如何使用 mapbox/robosat 工具，基于深度学习训练，从常规的遥感影像瓦片地图服务中自动提取建筑物。

robust-yield-prediction-on-various-farm-processing-units

Note : This Repository consists files of the ML Project - Robust Yield Prediction on Farm Units for a new food chain company , It's my Final academic project - PHD for the PG Program pursued in Data Science & Analytics @ Insofe.

rocm

ROCm - Open Source Platform for HPC and Ultrascale GPU Computing

rsd46-whu

A 46-classes public dataset for remote sensing image scene classification.

rsisc_ssl_paradigm

Remote Sensing Image Scene Classification with Self-Supervised Paradigm under Limited Labeled Samples

rssc-nas

remote sensing scene classification - nerual architecture search

rssc-transfer

Repository with the source code and models for the paper "The Role of Pre-Training in High-Resolution Remote Sensing Scene Classification"

sagernet

The universal proxy toolchain for Android

salinas-dataset-classification

This data set comes from Hyperspectral Remote Sensing Scenes

sar2ndvi_cnn

A CNN is trained to perform the estimation of the NDVI, using coupled Sentinel-1 and Sentinel-2 time-series.

satellite-crop-type-mapping

satellite-data-analysis

India Village Mapping Satellite Data to Census with CNNs

satellite-image-semantic-segmentation-unet-tensorflow-keras

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

satellite_seg

CCF BCDI2017 卫星影像的AI分类与识别