Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …

Abstract Geo-Object-Based Image Analysis (GEOBIA) is becoming an increasingly important
technology for information extraction from remote sensing images. Multi-scale image …

Scale computation for multi-scale image segmentation is an important research area in
geographic object-based image analysis (GEOBIA). For the highly spectral heterogeneity of …

Timely monitoring nitrogen status of rice crops with remote sensing can help us optimize
nitrogen fertilizer management and reduce environmental pollution. Recently, the use of …

Extracting farmland from high spatial resolution remote sensing images is a basic task for
agricultural information management. According to Tobler's first law of geography, closer …

Conventional geographic object-based image analysis (GEOBIA) land cover classification
methods by using very high resolution images are hardly applicable due to their complex …

Land cover data are important basic data for earth system science and other fields. Multi-
source remote sensing images have become the main data source for land cover …

The spatial resolution of in situ unmanned aerial vehicle (UAV) multispectral images has a
crucial effect on crop growth monitoring and image acquisition efficiency. However, existing …

Recently land-use change has been the main concern for worldwide environment change
and is being used by city and regional planners to design sustainable cities. Nakuru in the …

Image segmentation is a crucial stage at the very beginning of many geographic object-
based image analysis (GEOBIA) workflows. While segmentation quality is generally deemed …