Inteligência artificial e sistemas de irrigação por pivô central: desenvolvimento de estratégias e técnicas para o aprimoramento do mapeamento automático

AO Albuquerque - 2022 - icts.unb.br
A irrigação é o principal responsável pelo aumento da produtividade dos cultivos. Os
sistemas de irrigação por pivô central (SIPC) são líderes em irrigação mecanizada no Brasil …

[PDF][PDF] PERFORMANCE EVALUATION OF LANDSAT 8 AND SENTINEL 2A FOR SURFACE WATER AREA MAPPING AT A LOCAL SCALE: A CASE STUDY OF ISE …

OE Olaniyi, I Komolafe, SR Ajayi, EA Aderonmu… - researchgate.net
Given the high cost of acquiring high-resolution satellite images for extensive data extraction
and the reduction of surface water due to climate change and human activities, it is crucial to …

[PDF][PDF] Corrected Proof

DW Zhao Lua, Z Denga, Y Shia, Z Dinga, H Ninga… - 2021 - pdfs.semanticscholar.org
This paper mainly researches the application method of red edge band in water body
remote sensing extraction. Gaofen-6 (GF-6) WFV data were chosen for the high spatial …

River body extraction using convolutional neural network

A Nath, P Mawlong, G Saha - Journal of Information and …, 2019 - Taylor & Francis
Hydrologists use various machine learning approaches for segmenting water bodies for
carrying out various panning activities. Conventional approaches are mainly clustering or …

[PDF][PDF] Investigation of Vision Information Extraction on Edge Computing Platforms for Flood Management Applications

OR Jan - researchbank.swinburne.edu.au
Flooding is one of the most catastrophic and common phenomena that threatens the planet's
ecosystem. One solution is to implement real-time water level monitoring systems to …

[PDF][PDF] MAPPING AND MONITORING WATER AREAS WITH SATELLITE IMAGES AND DEEP LEARNING

NT Tam, NT Toan, PT Cong, NQV Hung - researchgate.net
Changes in surface water might result in natural disasters such as floods, water shortages,
landslides, waterborne diseases, which lead to loss of lives. Timely extracting for surface …

[PDF][PDF] Extrapolating Satellite-Based Flood Masks by One-Class Classification—A Test Case in Houston. Remote Sens. 2021, 13, 2042

F Brill, S Schlaffer, S Martinis, K Schröter, H Kreibich - 2021 - researchgate.net
Flood masks are among the most common remote sensing products, used for rapid crisis
information and as input for hydraulic and impact models. Despite the high relevance of …

Extracting surface water bodies from Sentinel-2 imaginery using convolutional neural networks

J Parajuli - 2021 - repositori.uji.es
Water is an integral part of eco-system with significant role in human life. It is immensely
mobilized natural resource and hence it should be monitored continuously. Water features …

[PDF][PDF] Application of red edge band in remote sensing extraction of surface water body: a case study based on GF-6 WFV data in arid area

DW Zhao Lua, Z Denga, Y Shia, Z Dinga, H Ninga… - 2021 - scholar.archive.org
This paper mainly researches the application method of red edge band in water body
remote sensing extraction. Gaofen-6 (GF-6) WFV data were chosen for the high spatial …

[PDF][PDF] Shallow Neural Network Based Vision Mobile Robot Control

Z Wu, Y Yang, Q Xu, F Yan - Journal of Computers, 2019 - csroc.org.tw
Although deep neural network has many advantages, the main problem is the large
requirement of computing power. The performance of shallow network is inferior to deep …