SAR/multispectral image fusion for the detection of environmental hazards with a GIS

Angela Errico; Cesario Vincenzo Angelino; Luca Cicala; Dominik Patryk Podobinski; Giuseppe Persechino; Claudia Ferrara; Massimiliano Lega; Andrea Vallario; Claudio Parente; Giuseppe Masi; Raffaele Gaetano; Giuseppe Scarpa; Donato Amitrano; Giuseppe Ruello; Luisa Verdoliva; Giovanni Poggi

doi:10.1117/12.2066476

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23 October 2014 SAR/multispectral image fusion for the detection of environmental hazards with a GIS

Angela Errico, Cesario Vincenzo Angelino, Luca Cicala, Dominik Patryk Podobinski, Giuseppe Persechino, Claudia Ferrara, Massimiliano Lega, Andrea Vallario, Claudio Parente, Giuseppe Masi, Raffaele Gaetano, Giuseppe Scarpa, Donato Amitrano, Giuseppe Ruello, Luisa Verdoliva, Giovanni Poggi

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Proceedings Volume 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V; 924503 (2014) https://doi.org/10.1117/12.2066476
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

In this paper we propose a GIS-based methodology, using optical and SAR remote sensing data, together with more conventional sources, for the detection of small cattle breeding areas, potentially responsible of hazardous littering. This specific environmental problem is very relevant for the Caserta area, in southern Italy, where many small buffalo breeding farms exist which are not even known to the productive activity register, and are not easily monitored and surveyed. Experiments on a test area, with available specific ground truth, prove that the proposed systems is characterized by very large detection probability and negligible false alarm rate.

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Angela Errico, Cesario Vincenzo Angelino, Luca Cicala, Dominik Patryk Podobinski, Giuseppe Persechino, Claudia Ferrara, Massimiliano Lega, Andrea Vallario, Claudio Parente, Giuseppe Masi, Raffaele Gaetano, Giuseppe Scarpa, Donato Amitrano, Giuseppe Ruello, Luisa Verdoliva, and Giovanni Poggi "SAR/multispectral image fusion for the detection of environmental hazards with a GIS", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 924503 (23 October 2014); https://doi.org/10.1117/12.2066476

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