Classification of earth surface image segmentation methods
The classification of methods for land surface image segmentation is presented in the paper. Such approaches as template matching, machine learning and deep neural networks, as well as application of knowledge about analyzed objects are considered. Peculiarities of vegetation indices application for...
Saved in:
Main Authors: | D. V. Kypriyanava, D. Y. Pertsau, M. M. Tatur |
---|---|
Format: | Article |
Language: | English |
Published: |
Belarusian National Technical University
2024-01-01
|
Series: | Системный анализ и прикладная информатика |
Subjects: | |
Online Access: | https://sapi.bntu.by/jour/article/view/642 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
DiffRSS: A Diffusion-Guided Multi-Scale Features Remote Sensing Image Segmentation Method
by: Honghao Liu, et al.
Published: (2025-01-01) -
SSMM-DS: A semantic segmentation model for mangroves based on Deeplabv3+ with swin transformer
by: Zhenhua Wang, et al.
Published: (2024-10-01) -
A Semantic Segmentation Method for Remote Sensing Images Based on an Improved TransDeepLab Model
by: Jinxin Wang, et al.
Published: (2024-12-01) -
Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistical information
by: Alexey Unagaev, et al.
Published: (2025-01-01) -
Enhancing Remote Sensing Semantic Segmentation Accuracy and Efficiency Through Transformer and Knowledge Distillation
by: Kang Zheng, et al.
Published: (2025-01-01)