Impact of agricultural land use in Central Asia: a review
Agriculture is major sector in the economy of Central Asia. The sustainable use of
agricultural land is therefore essential to economic growth, human well-being, social equity …
agricultural land is therefore essential to economic growth, human well-being, social equity …
A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Object-based image analysis (OBIA) has gained widespread popularity for creating maps
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …
important for both scientific and practical purposes. Spatially explicit crop-type information …
Evaluation of deformation procedure in waterbed of rivers
The article is about the questions study of procedure in waterbed with modern GIS
(Geographic Information System) technologies. Data from the Landsat satellite innovation …
(Geographic Information System) technologies. Data from the Landsat satellite innovation …
3D convolutional neural networks for crop classification with multi-temporal remote sensing images
This study describes a novel three-dimensional (3D) convolutional neural networks (CNN)
based method that automatically classifies crops from spatio-temporal remote sensing …
based method that automatically classifies crops from spatio-temporal remote sensing …
Self-attention for raw optical satellite time series classification
The amount of available Earth observation data has increased dramatically in recent years.
Efficiently making use of the entire body of information is a current challenge in remote …
Efficiently making use of the entire body of information is a current challenge in remote …
Vits for sits: Vision transformers for satellite image time series
M Tarasiou, E Chavez… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
In this paper we introduce the Temporo-Spatial Vision Transformer (TSViT), a fully-
attentional model for general Satellite Image Time Series (SITS) processing based on the …
attentional model for general Satellite Image Time Series (SITS) processing based on the …
Multi-temporal land cover classification with sequential recurrent encoders
Earth observation (EO) sensors deliver data at daily or weekly intervals. Most land use and
land cover classification (LULC) approaches, however, are designed for cloud-free and …
land cover classification (LULC) approaches, however, are designed for cloud-free and …
[HTML][HTML] Crop map** from image time series: Deep learning with multi-scale label hierarchies
The aim of this paper is to map agricultural crops by classifying satellite image time series.
Domain experts in agriculture work with crop type labels that are organised in a hierarchical …
Domain experts in agriculture work with crop type labels that are organised in a hierarchical …
Segmentation of images by color features: A survey
Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …
proposed in the last few years for grayscale and color images. In this paper, we present a …