📦🐍 Mapping deforestation risk following JNR methodology

[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"

[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

Public repo for DeepLearning.AI MLEP Specialization

This repostiory contains the code used in the publication "Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds using two Deep Neural Networks: PointCNN and 3DmFV-Net"

InSAR Scientific Computing Environment version 2

Miami InSAR time-series software in Python

Parallel InSAR processing for Time-series analysis

LiCSBAS: InSAR time series analysis package using LiCSAR products

Arcpy tool to identify tree tops and canopy segmentation from lidar canopy height model

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

A collection of Deep Learning projects and resources

Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.

A classifier is trained to identify land use and land cover in the EuroSAT Dataset. A Convolutional Neural Network (CNN) is implemented and a fine-tune Resnet model is also used for this image clas…

Mapping first-year sea ice and multi-year sea ice in the oceans is significant for many applications. For example, ship navigation and weather forecast. Accurate and robust classification methods o…

This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.

Sentinel-1 image pre-processing using snappy.