4 citations · 10 across the 6 of their papers we have counts for
6 papers
Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis
Andrea Baraldi, João V. B. Soares
In recent years two sets of planar (2D) shape attributes, provided with an intuitive physical meaning, were proposed to the remote sensing community by, respectively, Nagao & Matsu…
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+
Andrea Baraldi
The proposed Earth observation (EO) based value adding system (EO VAS), hereafter identified as AutoCloud+, consists of an innovative EO image understanding system (EO IUS) design…
Multi-spectral Image Panchromatic Sharpening, Outcome and Process Quality Assessment Protocol
Andrea Baraldi, Francesca Despini, Sergio Teggi
Multispectral (MS) image panchromatic (PAN) sharpening algorithms proposed to the remote sensing community are ever increasing in number and variety. Their aim is to sharpen a coar…
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images
Andrea Baraldi, Dirk Tiede, Stefan Lang
Capable of automated near real time superpixel detection and quality assessment in an uncalibrated monitor typical red green blue (RGB) image, depicted in either true or false colo…
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation
Andrea Baraldi, Michael Laurence Humber, Dirk Tiede +1
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effe…
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory
Andrea Baraldi, Michael Laurence Humber, Dirk Tiede +1
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effe…