Extracting vegetational features from landsat maps: using a delay and sum beamforming for image processing |
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| A. Lay-Ekuakille, D. P. Bakajika Mukombo, John P. Djungha Okitadiowo, A. Nyengele, C. Lefi, C. Ntuala Ompua, M. Palmisano |
- Abstract:
- Remote sensing has been performing a robust help in addressing issues related to extract information from satellite, and airborne-based platforms. This extraction is certainly a way for making quality and quantity analysis, hence measurements. This paper intends to illustrate the application of the delay and sum beamforming (DSB) approach to characterize satellite maps, in particular Landsat ones, for classifying different soil/land characteristics. The algorithm has been tested to detect the vegetation index from Lansat images of the city of Kinshasa (DR Congo). The DSB has demonstrated to exhibit better results than traditional techniques because of its accurate and reliable results.
- Keywords:
- NDVI; Delay and sum beamforming; Environmental measurements; Forestation; Environmental economy; Remote sensing; Landsat
- Download:
- IMEKO-TC19-2022-02.pdf
- DOI:
- 10.21014/tc19-2022.02
- Event details
- IMEKO TC:
- TC19
- Event name:
- TC19 Symposium: Metrology on Environmental Instrumentation and Measurements (EnvIMEKO 2022)
- Title:
9th EnvIMEKO Symposium of Environmental Instrumentation and Measurements
- Place:
- La Mans, FRANCE
- Time:
- 02 June 2022 - 03 June 2022