[HTML][HTML] Integrating remote sensing and geospatial big data for urban land use mapping: A review
Remote Sensing (RS) has been used in urban mapping for a long time; however, the
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
complexity and diversity of urban functional patterns are difficult to be captured by RS only …
From single-to multi-modal remote sensing imagery interpretation: A survey and taxonomy
Modality is a source or form of information. Through various modal information, humans can
perceive the world from multiple perspectives. Simultaneously, the observation of remote …
perceive the world from multiple perspectives. Simultaneously, the observation of remote …
[HTML][HTML] SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
In China, the demand for a more precise perception of the national land surface has become
most urgent given the pace of development and urbanization. Constructing a very-high …
most urgent given the pace of development and urbanization. Constructing a very-high …
SPNet: Siamese-prototype network for few-shot remote sensing image scene classification
Few-shot image classification has attracted extensive attention, which aims to recognize
unseen classes given only a few labeled samples. Due to the large intraclass variances and …
unseen classes given only a few labeled samples. Due to the large intraclass variances and …
[HTML][HTML] Enabling country-scale land cover mapping with meter-resolution satellite imagery
High-resolution satellite images can provide abundant, detailed spatial information for land
cover classification, which is particularly important for studying the complicated built …
cover classification, which is particularly important for studying the complicated built …
Knowledge-guided land pattern depiction for urban land use mapping: A case study of Chinese cities
Accurate urban land-use maps, which reflect the complicated land-use pattern implied in the
function and distribution of land-cover types, play an important role in urban analysis. In …
function and distribution of land-cover types, play an important role in urban analysis. In …
Seeing beyond the patch: Scale-adaptive semantic segmentation of high-resolution remote sensing imagery based on reinforcement learning
In remote sensing imagery analysis, patch-based methods have limitations in capturing
information beyond the sliding window. This shortcoming poses a significant challenge in …
information beyond the sliding window. This shortcoming poses a significant challenge in …
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images
Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …
morphology and improving urban planning. The emergence of Volunteered Geographic …
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America
Urban land-use maps outlining the distribution, pattern, and composition of various land use
types are critically important for urban planning, environmental management, disaster …
types are critically important for urban planning, environmental management, disaster …
[HTML][HTML] Geoscience-aware deep learning: A new paradigm for remote sensing
Abstract Information extraction is a key activity for remote sensing images. A common
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …