[图书][B] What is machine learning?

I El Naqa, MJ Murphy - 2015 - Springer
Abstract Machine learning is an evolving branch of computational algorithms that are
designed to emulate human intelligence by learning from the surrounding environment …

Mapping center pivot irrigation systems in global arid regions using instance segmentation and analyzing their spatial relationship with freshwater resources

F Chen, H Zhao, D Roberts, T Van de Voorde… - Remote Sensing of …, 2023 - Elsevier
Ensuring freshwater availability and supply sufficient for socio-economic development is
important for human health and productivity. Globally, increasing industrial agriculture is …

[HTML][HTML] A machine learning approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data

T Li, K Johansen, MF McCabe - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
High spatial and temporal resolution satellite imagery are essential data for land cover
discrimination and mapping of vegetation dynamics, offering insights into the number …

Multi-stage feature enhancement pyramid network for detecting objects in optical remote sensing images

K Zhang, H Shen - Remote Sensing, 2022 - mdpi.com
The intelligent detection of objects in remote sensing images has gradually become a
research hotspot for experts from various countries, among which optical remote sensing …

[HTML][HTML] Multispectral panoptic segmentation: Exploring the beach setting with worldview-3 imagery

OLF De Carvalho, OA de Carvalho Júnior… - International Journal of …, 2022 - Elsevier
Panoptic segmentation is a recent and powerful task that tackles individual object
recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …

A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US

F Tian, B Wu, H Zeng, M Zhang, Y Hu… - GIScience & Remote …, 2023 - Taylor & Francis
Forty percent of global food production relies upon irrigation, which accounts for 70% of total
global freshwater use. Thus, the mapping of cropland irrigation plays a significant role in …

Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning

X Liu, W He, W Liu, G Yin, H Zhang - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
As an important agricultural facility that supports efficient crop production and precise water
management, center-pivot irrigated cropland (CPIC) plays a critical role in increasing crop …

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning …

R Sapkota, A Paudel, M Karkee - arXiv preprint arXiv:2411.11285, 2024 - arxiv.org
Currently, deep learning-based instance segmentation for various applications (eg,
Agriculture) is predominantly performed using a labor-intensive process involving extensive …

Dual consistency alignment based self-supervised learning for SAR target recognition with speckle noise resistance

Y Zhai, J Liao, B Sun, Z Jiang, Z Ying… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Deep-learning-based on convolutional neural networks (CNN) has been widely applied in
synthetic aperture radar (SAR) target recognition and made significant progress. However …

[HTML][HTML] A Retrospective Analysis of National-Scale Agricultural Development in Saudi Arabia from 1990 to 2021

T Li, OM López Valencia, K Johansen, MF McCabe - Remote Sensing, 2023 - mdpi.com
Agricultural intensification has resulted in the depletion of groundwater resources in many
regions of the world. A prime example is Saudi Arabia, which witnessed dramatic …