Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

T Kattenborn, J Leitloff, F Schiefer, S Hinz - ISPRS journal of …, 2021 - Elsevier
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …

Deep learning techniques to classify agricultural crops through UAV imagery: A review

A Bouguettaya, H Zarzour, A Kechida… - Neural computing and …, 2022 - Springer
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …

[HTML][HTML] The segment anything model (sam) for remote sensing applications: From zero to one shot

LP Osco, Q Wu, EL de Lemos, WN Gonçalves… - International Journal of …, 2023 - Elsevier
Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …

[HTML][HTML] A review on deep learning in UAV remote sensing

LP Osco, JM Junior, APM Ramos… - International Journal of …, 2021 - Elsevier
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …

AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture

J Su, X Zhu, S Li, WH Chen - Neurocomputing, 2023 - Elsevier
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

Y Ampatzidis, V Partel, L Costa - Computers and Electronics in Agriculture, 2020 - Elsevier
Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …

Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean

J Zheng, S Yuan, W Wu, W Li, L Yu, H Fu… - Remote Sensing of …, 2023 - Elsevier
Coconut (Cocos nucifera L.) is one of the world's most economically important tree species,
and coconut palm plantations dominate many islands and tropical coastlines. However, the …

HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery

T Zhang, X Zhang, J Shi, S Wei - ISPRS Journal of Photogrammetry and …, 2020 - Elsevier
Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …