Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
MD Hossain, D Chen - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Implementation of machine-learning classification in remote sensing: An applied review
Machine learning offers the potential for effective and efficient classification of remotely
sensed imagery. The strengths of machine learning include the capacity to handle data of …
sensed imagery. The strengths of machine learning include the capacity to handle data of …
[HTML][HTML] A review of supervised object-based land-cover image classification
L Ma, M Li, X Ma, L Cheng, P Du, Y Liu - ISPRS Journal of Photogrammetry …, 2017 - Elsevier
Object-based image classification for land-cover mapping purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …
imagery has attracted significant attention in recent years. Numerous studies conducted over …
A measure of spatial stratified heterogeneity
Spatial stratified heterogeneity, referring to the within-strata variance less than the between
strata-variance, is ubiquitous in ecological phenomena, such as ecological zones and many …
strata-variance, is ubiquitous in ecological phenomena, such as ecological zones and many …
A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
Spatio-temporal patterns of land use/land cover change in the heterogeneous coastal region of Bangladesh between 1990 and 2017
Although a detailed analysis of land use and land cover (LULC) change is essential in
providing a greater understanding of increased human-environment interactions across the …
providing a greater understanding of increased human-environment interactions across the …
[HTML][HTML] Geographic object-based image analysis–towards a new paradigm
The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …
has been and still is sharply increasing. These approaches to analysing imagery have …
An automatic random forest-OBIA algorithm for early weed mapping between and within crop rows using UAV imagery
Accurate and timely detection of weeds between and within crop rows in the early growth
stage is considered one of the main challenges in site-specific weed management (SSWM) …
stage is considered one of the main challenges in site-specific weed management (SSWM) …
[HTML][HTML] UAV remote sensing for urban vegetation mapping using random forest and texture analysis
Q Feng, J Liu, J Gong - Remote sensing, 2015 - mdpi.com
Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation mapping
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …
Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic
Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over …
Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over …