This project deals with extraction of roads from high resolution satellite images,this method is mainly based on thresholding
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Updated
Dec 20, 2017 - MATLAB
This project deals with extraction of roads from high resolution satellite images,this method is mainly based on thresholding
Data processing, analysis and estimation utilities for a GNSS receiver array
Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.
Reconfigures ENVI imagery data (ascii file) for analysis using a data science programing language (e.g. Matlab or Python)
Consistent with up to date protocols and NASA's SEABASS submission standards, hs6PROCESS_SEABASS processes raw backscattering data as sampled in natural water bodies using HOBI Labs Hydroscat-6 (hs6). hs6PROCESS_SEABASS should also be compatible with Hydroscat-4 and 2.
Consistent with up to date protocols and NASA's SEABASS submission standards, acsPROCESS_SEABASS processes raw absorption/attenuation data as sampled in natural water bodies using WET Labs ac-s meter.
Consistent with up to date protocols and NASA's SEABASS submission standards, acsPROCESS_INTERACTIVE processes raw absorption/attenuation data as sampled in natural water bodies using WET Labs ac-s meter.
Morphological Building Index, extract Buildings from a high-resolution top view image.
Consistent with up to date protocols, hs6PROCESS_INTERACTIVE processes raw backscattering data as sampled in natural water bodies using HOBI Labs Hydroscat-6 (hs6). hs6PROCESS_SEABASS should is also designed to be compatible with Hydroscat-4 and 2.
Forest type predictor trained on NDVI data using a feed forward Neural Network
These scripts are used to obtain the projected shapefiles from the original ICESat .H5 files in a batch process.
An example of hyperspectral image classification using Matlab
codes for TNNLS paper "Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration"
Complex-valued Convolutional Neural Networks
Bayesian Active Learning for Remote Sensing
🌍 A short remote sensing project, analysing satellite images of the Earth.
This repository contains several hyperspectral image analysis algorithms, including unmixing, registration and fusion.
MATLAB Toolbox for Remote Sensing Change Detection
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