A systematic review of individual tree crown detection and delineation with convolutional neural networks (CNN)
H Zhao, J Morgenroth, G Pearse, J Schindler - Current Forestry Reports, 2023 - Springer
Abstract Purpose of Review Crown detection and measurement at the individual tree level
provide detailed information for accurate forest management. To efficiently acquire such …
provide detailed information for accurate forest management. To efficiently acquire such …
Progressive adjacent-layer coordination symmetric cascade network for semantic segmentation of multimodal remote sensing images
Semantic segmentation of remote sensing images is a fundamental task in computer vision,
with significant applications in forest and farmland cover surveys, geological disaster …
with significant applications in forest and farmland cover surveys, geological disaster …
Rethinking transformers for semantic segmentation of remote sensing images
Transformer has been widely applied in image processing tasks as a substitute for
convolutional neural networks (CNNs) for feature extraction due to its superiority in global …
convolutional neural networks (CNNs) for feature extraction due to its superiority in global …
Deep Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey
L Huang, B Jiang, S Lv, Y Liu… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Semantic segmentation of remote sensing images (SSRSIs), which aims to assign a
category to each pixel in remote sensing images, plays a vital role in a broad range of …
category to each pixel in remote sensing images, plays a vital role in a broad range of …
Graph attention guidance network with knowledge distillation for semantic segmentation of remote sensing images
Deep learning has become a popular method for studying the semantic segmentation of
high-resolution remote sensing images (HRRSIs). Existing methods have adopted …
high-resolution remote sensing images (HRRSIs). Existing methods have adopted …
Cross-phenological-region crop mapping framework using Sentinel-2 time series Imagery: A new perspective for winter crops in China
Precise large-area crop mapping products are the foundation for cropland monitoring,
market policy decision-making, and subsequent agricultural applications. However, owing to …
market policy decision-making, and subsequent agricultural applications. However, owing to …
MISNet: Multiscale cross-layer interactive and similarity refinement network for scene parsing of aerial images
Although progress has been made in multisource data scene parsing of natural scene
images, extracting complex backgrounds from aerial images of various types and presenting …
images, extracting complex backgrounds from aerial images of various types and presenting …
Adjacent bi-hierarchical network for scene parsing of remote sensing images
Driven by the rapid development and application of earth observation sensors, the scene
parsing of remote sensing images (RSIs) has attracted extensive research attention in recent …
parsing of remote sensing images (RSIs) has attracted extensive research attention in recent …
A Deep Cross-Modal Fusion Network for Road Extraction With High-Resolution Imagery and LiDAR Data
Urban road extraction is important for the applications of urban planning and transportation.
High-resolution image (HRI) has been one of the most popular data sources for extracting …
High-resolution image (HRI) has been one of the most popular data sources for extracting …
Calibrated focal loss for semantic labeling of high-resolution remote sensing images
Currently, the most advanced high-resolution remote sensing image (HRRSI) semantic
labeling methods rely on deep neural networks. However, HRRSIs naturally have a serious …
labeling methods rely on deep neural networks. However, HRRSIs naturally have a serious …