A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions

Author:

Zhao JiORCID,Zhong YanfeiORCID,Hu Xin,Wei Lifei,Zhang LiangpeiORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Hubei Key Laboratory of Intelligent Geo-Information Processing

Fundamental Research Funds for the Central Universities

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference51 articles.

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2. Estimating and mapping crop residues cover on agricultural lands using hyperspectral and IKONOS data;Bannari;Remote Sens. Environ.,2006

3. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

4. Quantifying the area and spatial distribution of double-and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005;Biradar;Int. J. Remote Sens.,2011

5. Object based image analysis for remote sensing;Blaschke;ISPRS J. Photogramm. Remote Sens.,2010

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