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 …
Complexity revealed in the greening of the Arctic
As the Arctic warms, vegetation is responding, and satellite measures indicate widespread
greening at high latitudes. This 'greening of the Arctic'is among the world's most important …
greening at high latitudes. This 'greening of the Arctic'is among the world's most important …
Unmanned aerial vehicle for remote sensing applications—A review
H Yao, R Qin, X Chen - Remote Sensing, 2019 - mdpi.com
The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …
almost every application (eg, agriculture, forestry, and mining) that needs observed …
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 …
A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
Change detection from remotely sensed images: From pixel-based to object-based approaches
M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …
information provides a base for a large number of applications, including local, regional and …
Continuous change detection and classification of land cover using all available Landsat data
A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover
using all available Landsat data is developed. It is capable of detecting many kinds of land …
using all available Landsat data is developed. It is capable of detecting many kinds of land …
[BOOK][B] Computer processing of remotely-sensed images
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …
processing of remotely-sensed images, processing methods, and applications Remote …
[BOOK][B] Spatial analysis: a guide for ecologists
MRT Dale, MJ Fortin - 2014 - books.google.com
Nowadays, ecologists worldwide recognize the use of spatial analysis as essential.
However, because of the fast-growing range of methods available, even an expert might …
However, because of the fast-growing range of methods available, even an expert might …
Advanced spectral classifiers for hyperspectral images: A review
Hyperspectral image classification has been a vibrant area of research in recent years.
Given a set of observations, ie, pixel vectors in a hyperspectral image, classification …
Given a set of observations, ie, pixel vectors in a hyperspectral image, classification …