An auto-encoder based classifier for crop mapping from multitemporal multispectral imagery
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1820619
Abstract: ABSTRACT Crop mapping is a challenging task due to the spatial, spectral, and temporal variations within the cropland. These variations cause high intra-class and low inter-class variability problems. In this study, inspired by Deep Learning… read more here.
Keywords: auto encoder; spectral features; encoder based; crop mapping ... See more keywords
Towards Scalable Within-Season Crop Mapping With Phenology Normalization and Deep Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3237500
Abstract: Crop-type mapping using time-series remote sensing data is crucial for a wide range of agricultural applications. Crop mapping during the growing season is particularly critical in timely monitoring of the agricultural system. Most existing studies… read more here.
Keywords: crop; within season; phenology; model ... See more keywords
CerealNet: A Hybrid Deep Learning Architecture for Cereal Crop Mapping Using Sentinel-2 Time-Series
Sign Up to like & getrecommendations! Published in 2022 at "Informatics"
DOI: 10.3390/informatics9040096
Abstract: Remote sensing-based crop mapping has continued to grow in economic importance over the last two decades. Given the ever-increasing rate of population growth and the implications of multiplying global food production, the necessity for timely,… read more here.
Keywords: crop; time series; cereal crop; deep learning ... See more keywords
Crop Mapping Based on Historical Samples and New Training Samples Generation in Heilongjiang Province, China
Sign Up to like & getrecommendations! Published in 2019 at "Sustainability"
DOI: 10.3390/su11185052
Abstract: Accurate, year-by-year crop distribution information is a key element in agricultural production regulation and global change governance. However, due to the high sampling costs and insufficient use of historical samples, a supervised classifying method for… read more here.
Keywords: based historical; year; historical samples; crop mapping ... See more keywords