Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities
Remote sensing image scene classification, which aims at labeling remote sensing images
with a set of semantic categories based on their contents, has broad applications in a range …
with a set of semantic categories based on their contents, has broad applications in a range …
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
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 …
Remote sensing image scene classification: Benchmark and state of the art
Remote sensing image scene classification plays an important role in a wide range of
applications and hence has been receiving remarkable attention. During the past years …
applications and hence has been receiving remarkable attention. During the past years …
Uav-yolo: Small object detection on unmanned aerial vehicle perspective
M Liu, X Wang, A Zhou, X Fu, Y Ma, C Piao - Sensors, 2020 - mdpi.com
Object detection, as a fundamental task in computer vision, has been developed
enormously, but is still challenging work, especially for Unmanned Aerial Vehicle (UAV) …
enormously, but is still challenging work, especially for Unmanned Aerial Vehicle (UAV) …
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 …
[HTML][HTML] Detection of land use and land cover change and land surface temperature in English Bazar urban centre
S Pal, SK Ziaul - The Egyptian Journal of Remote Sensing and Space …, 2017 - Elsevier
Present paper tends to capture the impact of land use land cover (LULC) on land surface
temperature (LST) in English Bazar Municipality of Malda District using multi spectral and …
temperature (LST) in English Bazar Municipality of Malda District using multi spectral and …
[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 …
[BUCH][B] LiDAR remote sensing and applications
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …
ecology, geographic information science, remote sensing, and photogrammetric …
[HTML][HTML] Landslide inventory maps: New tools for an old problem
Landslides are present in all continents, and play an important role in the evolution of
landscapes. They also represent a serious hazard in many areas of the world. Despite their …
landscapes. They also represent a serious hazard in many areas of the world. Despite their …
[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers
We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
of multiple layers, and we implemented it as a generic tool for the eCognition® software …