Improving crop type mapping by integrating LSTM with temporal random masking and pixel-set spatial information
Accurate and timely crop type classification is essential for effective agricultural monitoring,
cropland management, and yield estimation. Unfortunately, the complicated temporal …
cropland management, and yield estimation. Unfortunately, the complicated temporal …
A cost-effective and robust mapping method for diverse crop types using weakly supervised semantic segmentation with sparse point samples
Accurate and timely information on the spatial distribution and areas of crop types is critical
for yield estimation, agricultural management, and sustainable development. However …
for yield estimation, agricultural management, and sustainable development. However …
Concept graph construction and applied research of agricultural remote sensing
Remote sensing technology in the new era gradually need a new scientific paradigm driven
by big data and knowledge. However, in the current research, the use of existing knowledge …
by big data and knowledge. However, in the current research, the use of existing knowledge …
HODet: A New Detector for Arbitrary-Oriented Rectangular Object in Optical Remote Sensing Imagery
L Xu, J Yu, D Ming - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Object detection from remote sensing images is a key technology for Earth observation
applications, which has important scientific research value. Ground objects in remote …
applications, which has important scientific research value. Ground objects in remote …
Sentinel-1/2 image fusion coupled with CSR, GAN, and temporal phenology feature construction for cropland mapping
Synthetic aperture radar (SAR) and optical image fusion can leverage the strength of both
data sources for improved ground object identification. However, existing fusion methods …
data sources for improved ground object identification. However, existing fusion methods …
Hierarchical Self-Learning Knowledge Inference Based on Markov Random Field for Semantic Segmentation of Remote Sensing Images
Y Chen, L Wang, J Li, C Zheng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Semantic segmentation is one of the most important tasks in the field of remote sensing. As
the spatial resolution increases, the remote sensing images can capture more detailed …
the spatial resolution increases, the remote sensing images can capture more detailed …
Abandoned Cropland Mapping with Phenology-Enhanced Change Vector Analysis and Semi-Supervised Learning in Different Cropping Intensity Areas
Accurate information on the spatial and temporal distribution of abandoned cropland (AC) is
crucial for protecting arable land and maintaining regional food security and ecological …
crucial for protecting arable land and maintaining regional food security and ecological …
Multispectral Characterization of Pesticide Residues in Strawberries
DA Pelaez, JE Arango… - 2024 IEEE Colombian …, 2024 - ieeexplore.ieee.org
The current article presents the implementation of a methodological approach to collect and
process multispectral images, addressing all essential aspects to obtain high-quality data for …
process multispectral images, addressing all essential aspects to obtain high-quality data for …