codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
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Updated
May 9, 2021 - MATLAB
codes for JSTARS paper: Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions
Design and capture compressive measurements with those compressive measurements classification in performed.
SinkholeNet Dataset
Create Level-2 satellite maps with data from ESA.
Structural displacement monitoring using ground-based synthetic aperture radar: Implementation of continuous displacement monitoring and clutter reduction
Bayesian Active Learning for Remote Sensing
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
Convert the remote sensing image classification to the abundance map as ground-truth , in the absence of field measured data.
Reconfigures ENVI imagery data (ascii file) for analysis using a data science programing language (e.g. Matlab or Python)
codes for JSTARS paper: Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites
A geocorrection method for airborne remote sensing video data.
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, 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.
Image velocimetry software for use with fixed and mobile platforms
🌍 A short remote sensing project, analysing satellite images of the Earth.
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.
Forest type predictor trained on NDVI data using a feed forward Neural Network
Robotic Exploration of the Solar System using NASA's JPL SPICE Toolkit and Remote Sensing with LandSat 8 data
Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images
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