1 citations · 1 across the 1 of their papers we have counts for
7 papers
Measuring economic activity from space: a case study using flying airplanes and COVID-19
Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto +2
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior cau…
Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Study
Gabriel Henrique de Almeida Pereira, André Minoro Fusioka, Bogdan Tomoyuki Nassu +1
Active fire detection in satellite imagery is of critical importance to the management of environmental conservation policies, supporting decision-making and law enforcement. This…
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
Rodrigo Minetto, Mauricio Pamplona Segundo, Gilbert Rotich +1
The COVID-19 outbreak forced governments worldwide to impose lockdowns and quarantines to prevent virus transmission. As a consequence, there are disruptions in human and economic…
OutdoorSent: Sentiment Analysis of Urban Outdoor Images by Using Semantic and Deep Features
Wyverson B. de Oliveira, Leyza B. Dorini, Rodrigo Minetto +1
Opinion mining in outdoor images posted by users during different activities can provide valuable information to better understand urban areas. In this regard, we propose a framewo…
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
Icaro O. de Oliveira, Keiko V. O. Fonseca, Rodrigo Minetto
We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-identification. The proposed network is fed simultaneously with small coarse patches of the vehicle sha…
Resource-Constrained Simultaneous Detection and Labeling of Objects in High-Resolution Satellite Images
Gilbert Rotich, Rodrigo Minetto, Sudeep Sarkar
We describe a strategy for detection and classification of man-made objects in large high-resolution satellite photos under computational resource constraints. We detect and classi…