Identifying crop planting areas using Fourier-transformed feature of time series MODIS leaf area index and sparse-representation-based classification in the North China Plain-Reference-Cited by-同舟云学术

Identifying crop planting areas using Fourier-transformed feature of time series MODIS leaf area index and sparse-representation-based classification in the North China Plain

Published:2018-07-05 Issue:5-6 Volume:40 Page:2034-2052
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xun Lan¹²,Wang Pengxin¹²,Li Li¹²,Wang Lei¹²,Kong Qingling¹²

Affiliation:

1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China

2. Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture, Beijing, China

Funder

National Key Technologies R&D Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1492181

Reference35 articles.

1. On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems

2. Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil

3. Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

4. Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

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