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Advanced spectral classifiers for hyperspectral images: A review
Hyperspectral image classification has been a vibrant area of research in recent years.
Given a set of observations, ie, pixel vectors in a hyperspectral image, classification …
Given a set of observations, ie, pixel vectors in a hyperspectral image, classification …
Status of land cover classification accuracy assessment
GM Foody - Remote sensing of environment, 2002 - Elsevier
The production of thematic maps, such as those depicting land cover, using an image
classification is one of the most common applications of remote sensing. Considerable …
classification is one of the most common applications of remote sensing. Considerable …
A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
[SÁCH][B] Computer processing of remotely-sensed images
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …
processing of remotely-sensed images, processing methods, and applications Remote …
[HTML][HTML] Improving the accuracy of land use and land cover classification of Landsat data in an agricultural watershed
Classification of remotely sensed imagery for reliable land use and land cover (LULC)
remains a challenge in areas where spectrally similar LULC features occur. For example …
remains a challenge in areas where spectrally similar LULC features occur. For example …
Develo** a science of land change: challenges and methodological issues
Land-change science has emerged as a foundational element of global environment
change and sustainability science. It seeks to understand the human and environment …
change and sustainability science. It seeks to understand the human and environment …
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using support vector machines
Crop map** is one major component of agricultural resource monitoring using remote
sensing. Yield or water demand modeling requires that both, the total surface that is …
sensing. Yield or water demand modeling requires that both, the total surface that is …
[PDF][PDF] Global land cover validation: Recommendations for evaluation and accuracy assessment of global land cover maps
This document presents the findings of the Working Group on Global Land Cover Validation,
a topical group within the Land Product Validation (LPV) subgroup of the Working Group on …
a topical group within the Land Product Validation (LPV) subgroup of the Working Group on …
Holistic aspects of suburban landscapes: visual image interpretation and landscape metrics
M Antrop, V Van Eetvelde - Landscape and urban planning, 2000 - Elsevier
Holism deals with extremely complex structures that are difficult to analyse. The holistic
approach of landscape research was stimulated by the introduction of aerial photography …
approach of landscape research was stimulated by the introduction of aerial photography …
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms
The rapid transformation of land cover/land use (LCLU) is a strong indication of global
environmental change. In order to monitor LCLU through maps, a significant dataset and …
environmental change. In order to monitor LCLU through maps, a significant dataset and …