A review of nonlinear hyperspectral unmixing methods
In hyperspectral unmixing, the prevalent model used is the linear mixing model, and a large
variety of techniques based on this model has been proposed to obtain endmembers and …
variety of techniques based on this model has been proposed to obtain endmembers and …
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 …
Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data
Accurate and timely monitoring of flooded crop areas is crucial for disaster rescue and loss
assessment. However, most flooded crop monitoring methods based on synthetic aperture …
assessment. However, most flooded crop monitoring methods based on synthetic aperture …
[图书][B] Habitat suitability and distribution models: with applications in R
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …
evaluation and prediction required for understanding and predicting future patterns of …
Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
Crop type mapping at the field level is necessary for a variety of applications in agricultural
monitoring and food security. As remote sensing imagery continues to increase in spatial …
monitoring and food security. As remote sensing imagery continues to increase in spatial …
[图书][B] Classification methods for remotely sensed data
P Mather, B Tso - 2016 - taylorfrancis.com
Since the publishing of the first edition of Classification Methods for Remotely Sensed Data
in 2001, the field of pattern recognition has expanded in many new directions that make use …
in 2001, the field of pattern recognition has expanded in many new directions that make use …
A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation
The combined use of remote sensing based land cover classification and landscape metrics
has provided a positive step toward gaining a comprehensive understanding of the features …
has provided a positive step toward gaining a comprehensive understanding of the features …
The application of artificial neural networks to the analysis of remotely sensed data
Artificial neural networks (ANNs) have become a popular tool in the analysis of remotely
sensed data. Although significant progress has been made in image classification based …
sensed data. Although significant progress has been made in image classification based …
Mapping multi-layered mangroves from multispectral, hyperspectral, and LiDAR data
Understanding species distribution and canopy structure of mangrove forests is imperative
for flora and fauna conservation in mangrove habitats. However, most mangrove studies …
for flora and fauna conservation in mangrove habitats. However, most mangrove studies …
[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 …