iipsrv is an advanced high-performance feature-rich image server for web-based streamed viewing and zooming of ultra high-resolution images.
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Updated
Feb 19, 2025 - C++
iipsrv is an advanced high-performance feature-rich image server for web-based streamed viewing and zooming of ultra high-resolution images.
Simulation-based inference for marine remote sensing
Mapping Fractional Vegetation Cover (FVC) components by introducing a CNN-based deep learning approach for UAS imagery
Normalization plugin for hyperspectral images in Spectronon software.
Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity
Semantic Segmentation of Agricultural Crop Multispectral Image Using Feature Fusion
MFD - Multispectral Feature Descriptor
A Collection of Python Codes that work in QGIS (Quantum GIS) that work on Orthomosaic Maps Generated by Aerial Photogrammetry Software such as the free to use VisualSFM or commercial software DroneDeploy or PIX4D. The Goal of these codes is to create free to use classification and NDVI on orthomosaics generated using freeware or trial versions oβ¦
A tool for sorting DJI Phantom 4 Multispectral and other multi-camera remote sensing systems imagery.
MicaSense RedEdge and Altum image processing tutorials
Multispectral dastaset for camouflage detection
eXtended Multispectral Dataset for Camouflage Detection
iipsrv is an advanced high-performance feature-rich image server for web-based streamed viewing and zooming of ultra high-resolution images.
Experimental application for multispectral cameras and ROS. It connects with ROS client API for camera reconfiguration.
Precision agriculture image processing suite for UAS-acquired multipsectral imagery on GCP
An http powered API for controlling spectrometers, and machine vision cameras that capture multi and hyper-spectral images.
multispectral semantic segmentation network for remote sensing images
ππ Benchmarking of Hyperspectral Image Fusion methods ππ
Using Sentinel-2 multispectral time series to classify crops in Central Tunisia
University final year project: Deep neural networks for classification of multispectral images. Includes dissertation, research Jupyter Notebooks, and code for TensorFlow CNN models.
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