Delineation of Soil Variability Using Geostatistics and Fuzzy Clustering Analyses of Hyperspectral Data-Reference-Cited by-同舟云学术

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Delineation of Soil Variability Using Geostatistics and Fuzzy Clustering Analyses of Hyperspectral Data

Published:1999-01 Issue:1 Volume:63 Page:142-150
ISSN:0361-5995
Container-title:Soil Science Society of America Journal
language:en
Short-container-title:Soil Science Society of America Journal

Author:

Ahn C.-W.¹,Baumgardner M. F.²,Biehl L. L.³

Affiliation:

1. University Space Research Association/NASA Goddard Space Flight Center; Biospheric Sciences Branch Code 923; Greenbelt MD 20771

2. Dep. of Agronomy; Purdue Univ.; West Lafayette IN 47907-1150

3. School of Electrical & Computer Engineering, Purdue Univ.; West Lafayette IN 47907

Funder

NASA Research

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2136/sssaj1999.03615995006300010021x/fullpdf

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1. Deep clustering using 3D attention convolutional autoencoder for hyperspectral image analysis;Scientific Reports;2024-02-20

2. Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat;Agriculture;2021-11-05

3. Hyperspectral Image Clustering: Current Achievements and Future Lines;IEEE Geoscience and Remote Sensing Magazine;2021

4. Learning or assessment of classification algorithms relying on biased ground truth data: what interest?;Journal of Applied Remote Sensing;2019-09-13

5. Black Soils Classification by Ground Spectral Process and Analysis;Acta Geologica Sinica - English Edition;2019-05

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