We propose a new method for automatic detection, from series of satellite images, of possible anomalies relative to crop parcels declared by farmers.
In this work, we propose a new method for automatic detection, from series of satellite images, of possible anomalies relative to crop parcels declared by ...
Automatic Detection Of Anomalous Time Trends From Satellite Image Series To Support Agricultural Monitoring. July 2021. Conference: IGARSS. Authors: Corrado ...
AUTOMATIC DETECTION OF ANOMALOUS TIME TRENDS FROM SATELLITE IMAGE SERIES TO SUPPORT AGRICULTURAL MONITORING. Corrado Avolio, Alessia Tricomi, Massimo Zavagli ...
Automatic Detection of Anomalous Time Trends from Satellite Image Series to Support Agricultural Monitoring. Corrado Avolio, Alessia Tricomi, Massimo Zavagli ...
Oct 7, 2024 · Automatic Detection of Anomalous Time Trends from Satellite Image Series to Support Agricultural Monitoring. IGARSS 2021: 6524-6527. [+] ...
Automatic Detection of Anomalous Time Trends from Satellite Image Series to Support Agricultural Monitoring. C. Avolio, A. Tricomi, M. Zavagli, L. Vendictis ...
In remote sensing, anomaly detection algorithms have been applied to a various range of earth observation applications, such as sea monitoring [24], vegetation ...
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This paper presents the Earth Observation-based Anomaly Detection (EOAD) approach, a novel system for the detection of in-field anomalies through automatic ...
This study proposes a method for detecting anomaly regions in each image of satellite image time series based on seasonal autocorrelation analysis.