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 …
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop mapping can benefit decision-making related to crop insurance …
production, and earlier crop mapping can benefit decision-making related to crop insurance …
[图书][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 …
Estimating biomass of winter oilseed rape using vegetation indices and texture metrics derived from UAV multispectral images
Y Liu, S Liu, J Li, X Guo, S Wang, J Lu - Computers and Electronics in …, 2019 - Elsevier
Monitoring the above ground biomass (AGB) in winter oilseed rape is important for
improving the agronomic management efficiency and predicting yield to ensure edible oil …
improving the agronomic management efficiency and predicting yield to ensure edible oil …
Rice monitoring and production estimation using multitemporal RADARSAT
Y Shao, X Fan, H Liu, J Xiao, S Ross, B Brisco… - Remote sensing of …, 2001 - Elsevier
Rice monitoring and production estimation has special significance to China, as rice is the
staple grain and accounts for 42% of the crop production in this country. Radar remote …
staple grain and accounts for 42% of the crop production in this country. Radar remote …
Classifier ensembles for land cover mapping using multitemporal SAR imagery
SAR data are almost independent from weather conditions, and thus are well suited for
mapping of seasonally changing variables such as land cover. In regard to recent and …
mapping of seasonally changing variables such as land cover. In regard to recent and …
Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model
MS Horritt, DC Mason, AJ Luckman - International Journal of …, 2001 - Taylor & Francis
Flood extent maps derived from remotely sensed data can provide distributed validation
data for hydraulic models of fluvial flow, and can be used for flood relief management and to …
data for hydraulic models of fluvial flow, and can be used for flood relief management and to …
Performance evaluation of textural features in improving land use/land cover classification accuracy of heterogeneous landscape using multi-sensor remote sensing …
Texture analysis of remote sensing images has been received a substantial amount of
attention as it plays a vital role in improving the classification accuracy of heterogeneous …
attention as it plays a vital role in improving the classification accuracy of heterogeneous …
A statistical active contour model for SAR image segmentation
MS Horritt - Image and Vision Computing, 1999 - Elsevier
A statistical active contour model is developed for segmenting synthetic aperture radar
(SAR) images into regions of homogeneous speckle statistics. The technique measures both …
(SAR) images into regions of homogeneous speckle statistics. The technique measures both …
Decision tree and texture analysis for mapping debris-covered glaciers in the Kangchenjunga area, Eastern Himalaya
A Racoviteanu, MW Williams - Remote sensing, 2012 - mdpi.com
In this study we use visible, short-wave infrared and thermal Advanced Spaceborne Thermal
Emission and Reflection Radiometer (ASTER) data validated with high-resolution Quickbird …
Emission and Reflection Radiometer (ASTER) data validated with high-resolution Quickbird …