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DIP's Projects

rio-cloudmask icon rio-cloudmask

Rasterio plugin for identifying clouds in multi-spectral satellite imagery

rit-18 icon rit-18

High-Resolution Multispectral Dataset for Semantic Segmentation

robosat icon robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

roofextraction icon roofextraction

Used in postgraduate projects about extraction the roof of buildings in the massive ancient building.

rsicd_optimal icon rsicd_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

rsip icon rsip

A module to process LandSat8 Remote Sense Images. Features: NDBI NDVI NDWI calculation; LandSat8 BandMerge(GIS info reserved); Building Area Extraction; Water Area Extraction;

rsod-dataset- icon rsod-dataset-

An open dataset for object detection in remote sensing images

rssfca icon rssfca

Our paper “Robust Self-Sparse Fuzzy Clustering for Image Segmentation” has been accepted for publication in IEEE Access.

s1s2vhsr icon s1s2vhsr

Multi-sensor and Multi-scale data fusion through Convolutional Neural Networks

s2omgan icon s2omgan

Implement of Paper "S2OMGAN: Shortcut from Remote Sensing Images to Online Maps"

saga-gis icon saga-gis

This is a mirror of the git repository of SAGA GIS. Original version at: https://sourceforge.net/p/saga-gis/code/ci/master/tree/ Feel free top open pull requests here, I can push to the official repo afterwards.

sar_cd_dcnet icon sar_cd_dcnet

Code is for our paper "Change Detection from Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network".

sar_cd_ms_capsnet icon sar_cd_ms_capsnet

Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" IEEE GRSL 2020

sar_change_detection_fda_rmg icon sar_change_detection_fda_rmg

The matlab code for the JARS18 paper "Synthetic aperture radar image change detection based on frequency domain analysis and random multigraphs"

sat-locat-reference-team-lucc icon sat-locat-reference-team-lucc

The teamlucc package is designed to facilitate analysis of land use and cover change (LUCC) around the monitoring sites of the Tropical Ecology Assessment and Monitoring (TEAM) Network. The TEAM Network is a global network of sites in tropical forests wth standardized real-time data collection designed to measure tropical forest responses to climate variability and change, land cover and land use change, and other threats.

satellite-images-calssification icon satellite-images-calssification

Noise filtering and classification of areas of real satellite images into segments of (urban - water - desert - plants) using unsupervised learning techniques

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