Search Results

There are 11636 results for: content related to: Benefits of hyperspectral remote sensing for tracking plant invasions

  1. Hyperspectral Remote Sensing of Urban Areas

    Geography Compass

    Volume 7, Issue 1, January 2013, Pages: 7–21, Perry Hardin and Andrew Hardin

    Version of Record online : 16 JAN 2013, DOI: 10.1111/gec3.12017

  2. Development of a Hyperspectral Imaging System for the Early Detection of Apple Rottenness Caused by Penicillium

    Journal of Food Process Engineering

    Volume 38, Issue 5, October 2015, Pages: 499–509, Bao-Hua Zhang, Jiang-Bo Li, Ling Zheng, Wen-Qian Huang, Shu-Xiang Fan, Chun-Jiang Zhao and Qing-da Meng

    Version of Record online : 11 FEB 2015, DOI: 10.1111/jfpe.12180

  3. You have free access to this content
    Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data

    Journal of Geophysical Research: Atmospheres (1984–2012)

    Volume 107, Issue D21, 16 November 2002, Pages: ACL 7-1–ACL 7-13, Robert N. Treuhaft, Gregory P. Asner, Beverly E. Law and Steven Van Tuyl

    Version of Record online : 7 NOV 2002, DOI: 10.1029/2001JD000646

  4. Hyperspectral microscopy as an analytical tool for nanomaterials

    Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology

    Volume 7, Issue 4, July/August 2015, Pages: 565–579, Gary A. Roth, Sahil Tahiliani, Nicole M. Neu-Baker and Sara A. Brenner

    Version of Record online : 22 JAN 2015, DOI: 10.1002/wnan.1330

  5. You have free access to this content
    Recent Applications of Spectroscopic and Hyperspectral Imaging Techniques with Chemometric Analysis for Rapid Inspection of Microbial Spoilage in Muscle Foods

    Comprehensive Reviews in Food Science and Food Safety

    Volume 14, Issue 4, July 2015, Pages: 478–490, Jun-Hu Cheng and Da-Wen Sun

    Version of Record online : 4 JUN 2015, DOI: 10.1111/1541-4337.12141

  6. You have free access to this content
    Antarctic moss stress assessment based on chlorophyll content and leaf density retrieved from imaging spectroscopy data

    New Phytologist

    Volume 208, Issue 2, October 2015, Pages: 608–624, Zbyněk Malenovský, Johanna D. Turnbull, Arko Lucieer and Sharon A. Robinson

    Version of Record online : 17 JUN 2015, DOI: 10.1111/nph.13524

  7. Hyperspectral Remote Sensing of Vegetation

    Geography Compass

    Volume 2, Issue 6, November 2008, Pages: 1943–1961, Jungho Im and John R. Jensen

    Version of Record online : 19 NOV 2008, DOI: 10.1111/j.1749-8198.2008.00182.x

  8. A Method for Rapid Identification of Rice Origin by Hyperspectral Imaging Technology

    Journal of Food Process Engineering

    Jun Sun, Xinzi Lu, Hanping Mao, Xiaming Jin and Xiaohong Wu

    Version of Record online : 16 OCT 2015, DOI: 10.1111/jfpe.12297

  9. The Support Vector Machine (SVM) Algorithm for Supervised Classification of Hyperspectral Remote Sensing Data

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 49–83, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch3

  10. Hyperspectral Imagery in Fluvial Environments

    Fluvial Remote Sensing for Science and Management

    Patrice E. Carbonneau, Hervé Piégay, Pages: 71–84, 2012

    Published Online : 14 AUG 2012, DOI: 10.1002/9781119940791.ch4

  11. You have free access to this content
    Recent Advances in De-Noising Methods and Their Applications in Hyperspectral Image Processing for the Food Industry

    Comprehensive Reviews in Food Science and Food Safety

    Volume 13, Issue 6, November 2014, Pages: 1207–1218, Qiong Dai, Da-Wen Sun, Jun-Hu Cheng, Hongbin Pu, Xin-An Zeng and Zhenjie Xiong

    Version of Record online : 20 OCT 2014, DOI: 10.1111/1541-4337.12110

  12. KPCA Algorithm for Hyperspectral Target/Anomaly Detection

    Kernel Methods for Remote Sensing Data Analysis

    Gustavo Camps-Valls, Lorenzo Bruzzone, Pages: 353–373, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch15

  13. Quality and safety assessment of food and agricultural products by hyperspectral fluorescence imaging

    Journal of the Science of Food and Agriculture

    Volume 92, Issue 12, September 2012, Pages: 2397–2408, Ruoyu Zhang, Yibin Ying, Xiuqin Rao and Jiangbo Li

    Version of Record online : 23 APR 2012, DOI: 10.1002/jsfa.5702

  14. Parallel Processing of Remotely Sensed Hyperspectral Images on Heterogeneous Clusters

    High-Performance Heterogeneous Computing

    Alexey L. Lastovetsky, Jack J. Dongarra, Pages: 188–208, 2009

    Published Online : 10 AUG 2009, DOI: 10.1002/9780470508206.ch10

  15. Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data

    Environmetrics

    Volume 26, Issue 2, March 2015, Pages: 77–88, M. Rinaldi, A. Castrignanò, D. De Benedetto, D. Sollitto, S. Ruggieri, P. Garofalo, F. Santoro, B. Figorito, S. Gualano and R. Tamborrino

    Version of Record online : 25 JUL 2014, DOI: 10.1002/env.2297

  16. You have full text access to this OnlineOpen article
    Will remote sensing shape the next generation of species distribution models?

    Remote Sensing in Ecology and Conservation

    Volume 1, Issue 1, October 2015, Pages: 4–18, Kate S. He, Bethany A. Bradley, Anna F. Cord, Duccio Rocchini, Mao-Ning Tuanmu, Sebastian Schmidtlein, Woody Turner, Martin Wegmann and Nathalie Pettorelli

    Version of Record online : 13 OCT 2015, DOI: 10.1002/rse2.7

  17. Semi-Automated Registration Of Close-Range Hyperspectral Scans Using Oriented Digital Camera Imagery And A 3d Model

    The Photogrammetric Record

    Volume 29, Issue 145, March 2014, Pages: 10–29, Aleksandra A. Sima, Simon J. Buckley, Tobias H. Kurz and Danilo Schneider

    Version of Record online : 13 FEB 2014, DOI: 10.1111/phor.12049

  18. Development of algorithms for detecting citrus canker based on hyperspectral reflectance imaging

    Journal of the Science of Food and Agriculture

    Volume 92, Issue 1, 15 January 2012, Pages: 125–134, Jiangbo Li, Xiuqin Rao and Yibin Ying

    Version of Record online : 11 JUL 2011, DOI: 10.1002/jsfa.4550

  19. Parallel processing of remotely sensed hyperspectral imagery: full-pixel versus mixed-pixel classification

    Concurrency and Computation: Practice and Experience

    Volume 20, Issue 13, 10 September 2008, Pages: 1539–1572, Antonio J. Plaza

    Version of Record online : 28 APR 2008, DOI: 10.1002/cpe.1291

  20. One-Class SVMs for Hyperspectral Anomaly Detection

    Kernel Methods for Remote Sensing Data Analysis

    Amit Banerjee, Philippe Burlina, Chris Diehl, Pages: 169–192, 2009

    Published Online : 4 NOV 2009, DOI: 10.1002/9780470748992.ch8