Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
A global map of Local Climate Zones to support earth system modelling and urban scale environmental science
There is a scientific consensus on the need for spatially detailed information on urban
landscapes at a global scale. These data can support a range of environmental services …
landscapes at a global scale. These data can support a range of environmental services …
The 10-m crop type maps in Northeast China during 2017–2019
Northeast China is the leading grain production region in China where one-fifth of the
national grain is produced; however, consistent and reliable crop maps are still unavailable …
national grain is produced; however, consistent and reliable crop maps are still unavailable …
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different …
A Wibmer, H Hricak, T Gondo, K Matsumoto… - European …, 2015 - Springer
Abstract Objectives To investigate Haralick texture analysis of prostate MRI for cancer
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …
detection and differentiating Gleason scores (GS). Methods One hundred and forty-seven …
Seismic fault detection in real data using transfer learning from a convolutional neural network pre-trained with synthetic seismic data
The challenging task of automatic seismic fault detection recently gained in quality with the
emergence of deep learning techniques. Those methods successfully take advantage of a …
emergence of deep learning techniques. Those methods successfully take advantage of a …
Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices
This paper presents a preliminary study for map** sea ice patterns (texture) with 100-m
ERS-1 synthetic aperture radar (SAR) imagery. The authors used gray-level co-occurrence …
ERS-1 synthetic aperture radar (SAR) imagery. The authors used gray-level co-occurrence …
Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform
Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …
Texture segmentation using fractal dimension
This paper deals with the problem of recognizing and segmenting textures in images. For
this purpose the authors employ a technique based on the fractal dimension (FD) and the …
this purpose the authors employ a technique based on the fractal dimension (FD) and the …
Crop classification based on phenology information by using time series of optical and synthetic-aperture radar images
Crop classification provides essential information for ensuring global food security, allowing
early crop monitoring practices and water irrigation management. Despite of high …
early crop monitoring practices and water irrigation management. Despite of high …
[HTML][HTML] An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing
New Earth observation missions and technologies are delivering large amounts of data.
Processing this data requires develo** and evaluating novel dimensionality reduction …
Processing this data requires develo** and evaluating novel dimensionality reduction …