[PDF][PDF] 遥感影像分类方法研究进展

贾坤, 李强子, 田亦陈, 吴炳方 - 光谱学与光谱分析, 2011 - researching.cn
摘要遥感影像分类是遥感信息提取的重要手段是目前遥感技术中的热点研究内容分类方法是
遥感影像分类的重要内容有效地选择合适的分类方法是提高分类精度的关键随着遥感技术的 …

Application of fuzzy logic and neural network in crop classification: a review

S Murmu, S Biswas - Aquatic Procedia, 2015 - Elsevier
Image classification is one of the crucial techniques in detecting the crops from remotely
sensed data as mapping of crops is a complex activity which in turn is an important …

Assessment of an operational system for crop type map production using high temporal and spatial resolution satellite optical imagery

J Inglada, M Arias, B Tardy, O Hagolle, S Valero… - Remote Sensing, 2015 - mdpi.com
Crop area extent estimates and crop type maps provide crucial information for agricultural
monitoring and management. Remote sensing imagery in general and, more specifically …

[图书][B] Remote sensing of vegetation: principles, techniques, and applications

HG Jones, RA Vaughan - 2010 - books.google.com
Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data

Z Pan, J Huang, Q Zhou, L Wang, Y Cheng… - International Journal of …, 2015 - Elsevier
With the availability of high frequent satellite data, crop phenology could be accurately
mapped using time-series remote sensing data. Vegetation index time-series data derived …

[PDF][PDF] 农作物种植结构遥感提取研究进展

胡琼, 吴文斌, 宋茜, 余强毅, 杨鹏, 唐华俊 - 中国农业科学, 2015 - iarrp.cn
农作物种植结构信息对农业生产管理, 农业可持续发展及国家粮食安全等具有重要意义.
本文中概括了农作物种植结构遥感提取的理论基础, 归类了近10 年间不同农作物种植结构遥感 …

Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis

TTH Nguyen, C De Bie, A Ali… - International journal of …, 2012 - Taylor & Francis
Successful identification and mapping of different cropping patterns under cloudy conditions
of a specific crop through remote sensing provides important baseline information for …

Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

M Li, J Im, C Beier - GIScience & Remote Sensing, 2013 - Taylor & Francis
This research investigated three machine learning approaches–decision trees, random
forest, and support vector machines–to classify local forest communities at the Huntington …

Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines

S Kuter, Z Akyurek, GW Weber - Remote Sensing of Environment, 2018 - Elsevier
In this paper, a novel approach to estimate fractional snow cover (FSC) from MODIS data in
a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art …

Classification of multitemporal Sentinel-2 data for field-level monitoring of rice cropping practices in Taiwan

NT Son, CF Chen, CR Chen, HY Guo - Advances in Space Research, 2020 - Elsevier
Cadastral information of rice fields is important for monitoring cropping practices in Taiwan
due to official initiatives. Remote sensing based rice monitoring has been a challenge for …